Published research papers with links to available open access manuscripts, video demos, open source software and datasets.

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183 results

2022

[groom22omnidirectional]On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision (M. Groom, T.P. Breckon), In Proc. Int. Conf. on Pattern Recognition, IEEE, 2022. (to appear)Keywords: stereo vision, spherical camera, angular disparity, bi-polar stereo, vertical stereo, spherical stereo, stereo calibration, camera calibration. [bibtex]
[isaac22transformers]Multi-view Vision Transformers for Object Detection (B.K.S. Isaac-Medina, C.G. Willcocks, T.P. Breckon), In Proc. Int. Conf. on Pattern Recognition, IEEE, 2022. (to appear)Keywords: multi-view x-ray, vision transforms, multi-view geometry, x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning. [bibtex]
[prew22grasping]Evaluating Gaussian Grasp Maps for Generative Grasping Models (W. Prew, T.P. Breckon, M.J.R. Bordewich, U. Beierholm), In Proc. Int. Joint Conf. Neural Networks, IEEE, 2022.Keywords: robotic manipulation, robot grasping, depth images. [bibtex]
[bhowmik22compression] Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery (N. Bhowmik, J.W. Barker, Y.F.A. Gaus, T.P. Breckon), In Proc. Computer Vision and Pattern Recognition Workshops, IEEE, 2022. (Workshop on Perception Beyond the Visible Spectrum (to appear))Keywords: object detection, thermal, infrared, lossy image compression, compression artefacts. [bibtex] [pdf]
[isaac22synthesis] Cross-modal Image Synthesis in Dual-Energy X-Ray Security Imagery (B.K.S. Isaac-Medina, N. Bhowmik, C.G. Willcocks, T.P. Breckon), In Proc. Computer Vision and Pattern Recognition Workshops, IEEE, 2022. (Workshop on Perception Beyond the Visible Spectrum (to appear))Keywords: dual-enery X-ray, GAN, generative adversarial network, airport security, aviation security, materials detection. [bibtex] [pdf]
[wang22crossdomain] Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation (Q. Wang, T.P. Breckon), In Pattern Recognition, Elsevier, Volume 123, 2022. (to appear)Keywords: heterogeneous domain adaptation, cross-domain projection, image classification, text classification. [bibtex] [pdf] [doi] [arxiv] [software]
[akcay22survey] Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging (S. Akcay, T.P. Breckon), In Pattern Recognition, Elsevier, Volume 122, 2022. (to appear)Keywords: x-ray security screening, automatic threat detection, prohibited item detection, airport security, deep learning, review, survey. [bibtex] [pdf] [doi] [arxiv]
[organisciak22uav-reid] UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery (D. Organisciak, M. Poyser, A. Alsehaim, B.K.S. Isaac-Medina, S. Hu, T.P. Breckon, H.P.H. Shum), In Proc. Int. Conf. on Computer Vision Theory and Applications, IEEE, 2022. (to appear)Keywords: drone detection, aerial reidentification, Re-ID, UAV, UAS, tracking. [bibtex] [pdf] [software] [more information]
[barker22turbine] Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery (J.W. Barker, N. Bhowmik, T.P. Breckon), In Proc. Int. Conf. on Computer Vision Theory and Applications, IEEE, 2022. (to appear)Keywords: anomaly detection, transformers, semi-supervised, deep neural networks, deep learning, wind turbine, blade inspection, defect detection. [bibtex] [pdf] [arxiv]
[yucer22phenotypes] Measuring Hidden Bias within Face Recognition via Racial Phenotypes (S. Yucer, F. Tekras, N. Al Moubayed, T.P. Breckon), In Proc. Winter Conference on Applications of Computer Vision, IEEE, pp. 3202-3211, 2022.Keywords: racial bias, face recognition, face identification, face verification, deep neural networks, deep learning. [bibtex] [pdf] [doi] [arxiv] [software] [dataset] [talk] [poster]
[wang22crowds] Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss (Q. Wang, T.P. Breckon), In IEEE Trans. Intelligent Transportation Systems, IEEE, 2022. (to appear)Keywords: crowd counting, curriculum loss, inception-v3, segmentation guided attention networks, convolutional neural networks. [bibtex] [pdf] [doi] [arxiv] [software]

2021

[wang21materials] Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery (Q. Wang, T.P. Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 75-82, 2021.Keywords: materials detection, computed tomography, 3D CT, luggage, baggage, aviation security, airport security, deep neural networks, deep learning. [bibtex] [pdf] [doi] [arxiv] [dataset] [talk]
[li21durlar] DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications (L. Li, K.N. Ismail, H.P.H. Shum, T.P. Breckon), In Proc. Int. Conf. on 3D Vision, IEEE, pp. 1227-1237, 2021. (to appear)Keywords: autonomous driving, dataset, high resolution LiDAR, flash LiDAR, ground truth depth, dense depth, monocular depth estimation, stereo vision, 3D. [bibtex] [pdf] [doi] [demo] [software] [dataset] [poster]
[web21xray] Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery (T.W. Webb, N. Bhowmik, Y.F.A. Gaus, T.P. Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 610-615, 2021.Keywords: x-ray security screening, automatic threat detection, prohibited item detection, airport security, deep learning. [bibtex] [pdf] [doi] [arxiv] [talk]
[raju21emotion] Continuous Multimodal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention (J. Raju, Y.F.A Gaus, T.P. Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 688-693, 2021.Keywords: recurrent neural network, attention, emotion prediction. [bibtex] [pdf] [doi] [talk]
[alsehaim21reidar] Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action Recognition (A. Alsehaim, T.P. Breckon), In Proc. British Machine Vision Conference, BMVA, 2021. (to appear)Keywords: re-id, multi-camera, person reidentification, camera-to-camera tracking, action recognition, weak labels, multi-class, cnn, deep learning. [bibtex] [pdf] [dataset]
[isaac21uav] Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark (B.K.S. Isaac-Medina, M. Poyser, D. Organisciak, C.G. Willcocks, T.P. Breckon, H.P.H. Shum), In Proc. Int. Conf. on Computer Vision Workshops, IEEE, pp. 1223-1232, 2021. (Workshop on Detection and Tracking of Unmanned Aerial Vehicle in the Wild)Keywords: drone detection, uav detection, unmanned aerial vehicles, aerial object detection, deep learning, convolutional neural networks, object detection, small object detection, tracking, thermal, infrared. [bibtex] [pdf] [doi] [arxiv] [demo] [software] [more information]
[bhowmik21energy] On the Impact of Using X-Ray Energy Response Imagery for Object Detection via Convolutional Neural Networks (N. Bhowmik, Y.F.A. Gaus, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 1224-1228, 2021.Keywords: X-ray, false colour, effective-z, object detection, luggage, baggage, aviation security, airport security, deep neural networks, deep learning. [bibtex] [pdf] [doi] [arxiv] [talk] [poster]
[wang21pda] Source Class Selection with Label Propagation for Partial Domain Adaptation (Q. Wang, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 769-773, 2021.Keywords: partial domain adaptation, label propagation, domain adaptation, subspace learning, locality preserving projection. [bibtex] [pdf] [doi] [software] [poster]
[gokstorp21saliency] Temporal and Non-Temporal Contextual Saliency Analysis for Generalized Wide-Area Search within Unmanned Aerial Vehicle (UAV) Video (S. Gökstorp, T.P. Breckon), In The Visual Computer, Springer, 2021. (to appear)Keywords: UAV, drone, saliency, search and rescue, SOR operations, wide-area search, video saliency. [bibtex] [pdf] [doi] [demo] [software]
[adey21anomaly] Autoencoders Without Reconstruction for Textural Anomaly Detection (P.A. Adey, S. Akcay, M.J.R. Bordewich, T.P. Breckon), In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2021.Keywords: anomaly detection, autoencoders, texture analysis, industrial inspection. [bibtex] [pdf] [doi]
[barker21panda] PANDA: Perceptually Aware Neural Detection of Anomalies (J.W. Barker, T.P. Breckon), In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2021.Keywords: anomaly detection, semi-supervised, VAE, GAN, Varational Autoencoder, Generative Adversarial Network, fine-grain classification, concealment detection, x-ray anomaly detection. [bibtex] [pdf] [doi] [arxiv]
[alshammari21competitive] Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation (N. Alshammari, S. Akcay, T.P. Breckon), In Proc. Intelligent Vehicles Symposium, IEEE, pp. 1413-1420, 2021.Keywords: autonomous driving, weather, low visibility, fog, cnn, deep learning, convolutional neural network. [bibtex] [pdf] [doi] [arxiv] [demo] [talk]
[wang21segmentation] On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening (Q. Wang, T.P. Breckon), In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2021.Keywords: 3D segmentation, computed tomography, 3D CT, luggage, baggage, aviation security, airport security, deep neural networks, deep learning. [bibtex] [pdf] [doi]
[alshammari21multimodal] Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation (N. Alshammari, S. Akcay, T.P. Breckon), In Proc. Intelligent Vehicles Symposium, IEEE, pp. 1428-1435, 2021.Keywords: autonomous driving, weather, low visibility, fog, cnn, deep learning, convolutional neural network. [bibtex] [pdf] [doi] [arxiv] [demo] [talk]
[holder21offroad] Learning to Drive: End-to-End Off-Road Path Prediction (C.J. Holder, T.P. Breckon), In IEEE Intelligent Transportation Systems Magazine, IEEE, Volume 13, No. 2, pp. 217-221, 2021.Keywords: end-to-end autonomous driving, off-road autonomous vehicles, stereo visual odometry, path prediction, steering control. [bibtex] [pdf] [doi] [demo]

2020

[carbonneau20fluvial] Adopting Deep Learning Methods for Airborne RGB Fluvial Scene Classification (P. Carbonneau, S.J. Dugdale, T.P. Breckon, J.D Dietrich, M.A. Fonstad, H Miyamoto, A.S. Woodget), In Remote Sensing of Environment, Elsevier, Volume 251, No. 15, pp. 112107, 2020.Keywords: deep Learning, fluvial scene classification, river features. [bibtex] [pdf] [doi] [arxiv] [software] [dataset]
[thompson20fire] Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection (W. Thompson, N. Bhowmik, T.P. Breckon), In Proc. Int. Conf. Machine Learning Applications, IEEE, pp. 136-141, 2020.Keywords: fire detection, CNN, deep-learning real-time, neural architecture search, nas, automl, non-temporal. [bibtex] [pdf] [doi] [arxiv] [demo] [software] [dataset] [talk]
[wang20multiclass-ct3d] Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery (Q. Wang, N. Bhowmik, T.P. Breckon), In Proc. Int. Conf. Machine Learning Applications, IEEE, pp. 13-18, 2020.Keywords: luggage security, 3D CNN, 3D object detection, volumetric object detection, baggage threat detection, prohibited item detection, ATR, airport security, transport security, CT object recognition. [bibtex] [pdf] [doi] [arxiv] [demo] [talk]
[sasaki20augmentation] Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery (H. Sasaki, C.G. Willcocks, T.P. Breckon), In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 5083-5090, 2020.Keywords: data augmentation, synthetic apature radar, sar, aerial imagery, satellite imagery, martime surveillance. [bibtex] [pdf] [doi] [arxiv] [talk] [poster]
[aznan20zero] Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI (N. Aznan, A. Atapour-Abarghouei, S. Bonner, J. Connolly, T.P. Breckon), In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 10418-10425, 2020.Keywords: ssvep, brain computer interface, bci, GAN, convolutional neural networks, cnn, deep learning, low-cost eeg. [bibtex] [pdf] [doi] [arxiv] [software] [talk] [poster]
[isaac20multiview] Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery (B.K.S. Isaac-Medina, C.G. Willcocks, T.P. Breckon), In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 9889-9896, 2020.Keywords: multi-view x-ray, x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, epipolar geometry, epipolar lines. [bibtex] [pdf] [doi] [talk] [poster]
[prew20grasping] Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss (W. Prew, T.P. Breckon, M.J.R. Bordewich, U. Beierholm), In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 9843-9850, 2020.Keywords: robotic manipulation, robot grasping, depth images. [bibtex] [pdf] [doi] [arxiv] [talk] [poster]
[gaus20transfer] Visible to Infrared Transfer Learning as a Paradigm for Accessible Real-time Object Detection and Classification in Infrared Imagery (Y.F.A. Gaus, N. Bhowmik, B.K.S. Isaac-Medina, T.P. Breckon), In Proc. Conf. Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies, SPIE, Volume 11542, pp. 13-27, 2020.Keywords: far infrared, transfer learning, thermal imaging, people detection, vehicle detection. [bibtex] [pdf] [doi] [demo]
[alsehaim20reid] Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification (A. Alsehaim, T.P. Breckon), In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 5190-5197, 2020.Keywords: reidentifictaion, camera to camera tracking, non-overlapping cameras, surveillance, cctv. [bibtex] [pdf] [doi] [arxiv] [talk] [poster]
[poyser20compression] On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures (M. Poyser, A. Atapour-Abarghouei, T.P. Breckon), In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 2830-2837, 2020.Keywords: data compression, jpeg, mpeg, compression artefacts, CNN, deep learning, lossy compression. [bibtex] [pdf] [doi] [arxiv] [talk] [poster]
[wang20ct3d] On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery (Q. Wang, N. Bhowmik, T.P. Breckon), In Proc. International Joint Conference on Neural Networks, IEEE, pp. 1-8, 2020.Keywords: luggage security, 3D CNN, 3D object detection, volumetric object detection, baggage threat detection, prohibited item detection, ATR, airport security, transport security, CT object recognition. [bibtex] [pdf] [doi] [arxiv] [demo] [talk]
[yucer20racialbias] Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation (S. Yucer, S. Akcay, N. Al Moubayed, T.P. Breckon), In Proc. Computer Vision and Pattern Recognition Workshops, IEEE, pp. 1-8, 2020. (Workshop on Fair, Data Efficient and Trusted Computer Vision)Keywords: face recognition, bias in AI, racial bias, GAN, cycleGAN, style transfer, surveillance. [bibtex] [pdf] [doi] [arxiv] [software] [dataset] [talk]
[wang20tip] A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes (Q. Wang, N. Megherbi, T.P. Breckon), In Journal of X-Ray Science and Technology, IOS Press, Volume 28, No. 3, pp. 507-526, 2020.Keywords: 3D baggage, CT baggage scanning, threat detection in baggage, TIP, threat image projection. [bibtex] [pdf] [doi] [arxiv] [demo]
[wang20domain] Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling (Q. Wang, T.P. Breckon), In Proc. AAAI Conference on Artificial Intelligence, AAAI, pp. 6243-6250, 2020.Keywords: unsupervised, domain shift, domain adaptation. [bibtex] [pdf] [doi] [arxiv] [software]
[wang20baggage] An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening (Q. Wang, K. Ismail, T.P. Breckon), In Journal of X-ray Science and Technology, IOS Press, Volume 20, No. 1, pp. 35-58, 2020.Keywords: adaptive automatic threat recognition, X-ray computed tomography, 3D image segmentation, baggage security screening, automatic threat detection, materials discrimination. [bibtex] [pdf] [doi] [arxiv]
[abarghouei20domain-transfer] Domain Adaptation via Image Style Transfer (A. Atapour-Abarghouei, T.P. Breckon), Chapter in Domain Adaptation in Computer Vision with Deep Learning, Springer, pp. 137-156, 2020. (ISBN: 978-3-030-45528-6 / 978-3-030-45529-3)Keywords: domain adaptation, image style transfer, monocular depth estimation. [bibtex] [pdf] [doi]

2019

[mohammadi19ocr] On the Use of Neural Text Generation for the Task of Optical Character Recognition (M. Mohammadi, S. Jaf, C.G. Willcocks, T.P. Breckon, P. Matthews, A.S. McGough, G. Theodoropoulos, B. Obara), In Proc. Int. Conf. on Computer Systems and Applications, IEEE, pp. 1-8, 2019.Keywords: optical character recognition. [bibtex] [pdf] [doi]
[adey19anomaly] Region Based Anomaly Detection with Real-Time Training and Analysis (P. Adey, M. Bordewich, O.K. Hamilton, T.P Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 495-499, 2019.Keywords: anomaly detection, region-proposal, region-based, surveillance, cctv, kernel density estimation. [bibtex] [pdf] [doi] [demo] [poster] [more information]
[gaus19transferability] Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery (Y.F.A. Gaus, N. Bhowmik, S. Akcay, T.P. Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 420-425, 2019.Keywords: x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, RetinaNet, baggage. [bibtex] [pdf] [doi] [arxiv] [demo] [poster]
[ismail19understanding] On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding (K.N. Ismail, T.P. Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 641-646, 2019.Keywords: autonomous driving, object detection, stereo vision, driverless vehicles. [bibtex] [pdf] [doi] [demo]
[bhowmik19subcomponent] On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery (N. Bhowmik, Y.F.A. Gaus, S. Akcay, J.W. Barker, T.P. Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 986-991, 2019.Keywords: x-ray security screening, automatic threat detection, anomaly detection, airport security, deep learning, CNN, baggage. [bibtex] [pdf] [doi] [arxiv] [demo]
[samarth19fire] Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection (G. Samarth, N. Bhowmik, T.P. Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 653-658, 2019.Keywords: fire detection, CNN, deep-learning real-time, non-temporal. [bibtex] [pdf] [doi] [arxiv] [software] [dataset]
[bhowmik19electronics] Using Deep Neural Networks to Address the Evolving Challenges of Concealed Threat Detection within Complex Electronic Items (N. Bhowmik, Y.F.A. Gaus, T.P. Breckon), In Proc. International Symposium on Technologies for Homeland Security, IEEE, pp. 1-6, 2019.Keywords: x-ray security screening, automatic threat detection, airport security, deep learning, CNN, convolutional neural networks, baggage. [bibtex] [pdf] [doi]
[gaus19firearms] On the Use of Deep Learning for the Detection of Firearms in X-ray Baggage Security Imagery (Y.F.A. Gaus, N. Bhowmik, T.P. Breckon), In Proc. International Symposium on Technologies for Homeland Security, IEEE, pp. 1-7, 2019.Keywords: x-ray security screening, automatic threat detection, firearm detection, airport security, deep learning, CNN, convolutional neural networks, baggage. [bibtex] [pdf] [doi] [poster]
[pearson19multi-task] Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments (B.G. Maciel-Pearson, S. Akcay, A. Atapour-Abarghouei, C. Holder, T.P. Breckon), In Robotics and Automation Letters, IEEE, Volume 4, No. 4, pp. 4116-4123, 2019.Keywords: autonomous flight, deep learning, drones, regressive flight control, machine learning flight controller, simulation. [bibtex] [pdf] [doi] [arxiv] [demo] [software] [dataset]
[abarghouei19multi-task] To complete or to estimate, that is the question: A Multi-Task Depth Completion and Monocular Depth Estimation (A. Atapour-Abarghouei, T.P. Breckon), In Proc. Int. Conf. 3D Vision, IEEE, pp. 183-193, 2019.Keywords: monocular depth estimation, convolutional neural networks, lidar, sparse-to-dense, depth completion. [bibtex] [pdf] [doi] [arxiv] [demo]
[bhowmik19synthetic] The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composite X-ray Imagery (N. Bhowmik, Q. Wang, Y.F.A. Gaus, M. Szarek, T.P. Breckon), In Proc. British Machine Vision Conference Workshops, BMVA, pp. 1-8, 2019.Keywords: x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, RetinaNet, baggage. [bibtex] [pdf] [arxiv]
[abarghouei19segment-wise] Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior (A. Atapour-Abarghouei, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 4295-4299, 2019.Keywords: monocular depth estimation, convolutional neural networks, semantic segmentation. [bibtex] [pdf] [doi] [demo]
[stephenson19degraf-flow] DeGraF-Flow: Extending DeGraF Features for Accurate and Efficient Sparse-to-Dense Optical Flow Estimation (F. Stephenson, T.P. Breckon, I. Katramados), In Proc. Int. Conference on Image Processing, IEEE, pp. 1277-1281, 2019.Keywords: optical flow, Dense Gradient Based Features, DeGraF, automotive vision, feature points. [bibtex] [pdf] [doi] [arxiv] [demo]
[wang19multilabel] A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks (Q. Wang, J. Ning, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 644-648, 2019.Keywords: multi-Label image classification, deep convolutional neural network, aata augmentation. [bibtex] [pdf] [doi] [arxiv] [software]
[zhang19discrete] Discrete Curvature Representations for Noise Robust Image Corner Detection (W. Zhang, C. Sun, T.P. Breckon, N. Alshammari), In IEEE Transactions on Image Processing, IEEE, Volume 29, No. 9, pp. 4444-4459, 2019.Keywords: discrete curvature representations, corner detection, corner resolution, noise robustness. [bibtex] [pdf] [doi]
[peng19tracking] A Ranking based Attention Approach for Visual Tracking (S. Peng, S. Kamata, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 3073-3077, 2019.Keywords: visual tracking, ranking based attention, convolutional tracker, convLSTM. [bibtex] [pdf] [doi]
[gaus19anomaly] Evaluating a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery (Y.F.A. Gaus, N. Bhowmik, A. Akcay, P.M. Guillen-Garcia, J.W Barker, T.P. Breckon), In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2019.Keywords: anomaly detection, mask R-CNN, baggage security, x-ray security screening, automatic threat detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, mask R-CNN. [bibtex] [pdf] [doi]
[akcay19skip-ganomaly] Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection (A. Akcay, A. Atapour-Abarghouei, T.P. Breckon), In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2019.Keywords: anomaly detection, GAN, generative adversarial networks, skip-conections. [bibtex] [pdf] [doi] [arxiv] [software]
[aznan19ssvep-gan] Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification (N.K.N. Aznan, A. Atapour-Abarghouei, S. Bonner, J. Connolly, N. Al Moubayed, T.P. Breckon), In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2019.Keywords: . [bibtex] [pdf] [doi] [arxiv] [poster]
[wang19unsupervised] Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition (Q. Wang, P. Bu, T.P. Breckon), In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2019.Keywords: unsupervised learning, domain adaptation, zero-shot learning. [bibtex] [pdf] [doi] [arxiv] [software]
[abarghouei19gan] Generative Adversarial Framework for Depth Filling via Wasserstein Metric, Cosine Transform and Domain Transfer (A. Atapour-Abarghouei, S. Akcay, G. Payen de La Garanderie, T.P. Breckon), In Pattern Recognition, Elsevier, Volume 91, pp. 232-244, 2019.Keywords: depth filling, RGB-D, hole filling, surface completion, 3D completion, depth completion, depth map, disparity hole filling, GAN, generative adversarial network, Wasserstein GAN. [bibtex] [pdf] [doi] [software]
[jackson19style] Style Augmentation: Data Augmentation via Style Randomization (P. Jackson, A. Atapour-Abarghouei, S. Bonner, T.P. Breckon, B. Obara), In Proc. Computer Vision and Pattern Recognition Workshops, IEEE, pp. 1-10, 2019.Keywords: style transfer, domain transfer, data augmentation. [bibtex] [pdf] [arxiv] [software] [poster]
[abarghouei19depth] Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach (A. Atapour-Abarghouei, T.P. Breckon), In Proc. Computer Vision and Pattern Recognition, IEEE, pp. 3368-3379, 2019.Keywords: monocular depth, generative adversarial network, GAN, depth map, disparity, depth from single image, multiple task learning, semantic segmantation, temporal consistency. [bibtex] [pdf] [doi] [arxiv] [demo] [software] [poster] [more information]
[aznan19navigation] Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation (N.K.N. Aznan, J. Connolly, N. Al Moubayed, T.P. Breckon), In Proc. Int. Conf. Robotics and Automation, IEEE, pp. 4889-4895, 2019.Keywords: ssvep, brain computer interface, bci, cnn, neural networks, convolutional neural networks, deep learning, dry-eeg, robot guidance. [bibtex] [pdf] [doi] [arxiv] [demo] [poster]
[podmore19ssvep] On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-based Bio-Signal Decoding in BCI Speller Applications (J.J. Podmore, T.P. Breckon, N.K.N. Aznan, J. Connolly), In IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE, Volume 24, No. 7, pp. 611-618, 2019.Keywords: ssvep, brain computer interface, bci, cnn, neural networks, convolutional neural networks, deep learning, speller. [bibtex] [pdf] [doi]
[mouton19relevance] On the Relevance of Denoising and Artefact Reduction in 3D Segmentation and Classification within Complex Computed Tomography Imagery (A. Mouton, T.P. Breckon), In Journal of X-Ray Science and Technology, IOS Press, Volume 27, No. 1, pp. 51-72, 2019.Keywords: 3D baggage, 3D baggage classification, CT baggage scanning, denoising, metal artefact reduction, MAR, MAR comparision. [bibtex] [pdf] [doi]
[abarghouei19missing-depth] Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation (A. Atapour-Abarghouei, T.P. Breckon), Chapter in RGB-D Image Analysis and Processing, Springer, pp. 15-50, 2019. (ISBN: 978-3-030-28602-6 / 978-3-030-28603-3)Keywords: depth filling, RGB-D, hole filling, surface completion, 3D completion, depth completion, depth map, disparity hole filling, GAN, generative adversarial network, Wasserstein GAN. [bibtex] [pdf] [doi]

2018

[medhat18tmixt] TMIXT: A process workflow for Transcribing MIXed handwritten and machine-printed Text (F. Medhat, M. Mohammadi, S. Jaf, C.G. Willcocks, T.P. Breckon, P. Matthews, A.S. McGough, G. Theodoropoulos, B. Obara), In Proc. IEEE Conf. Big Data Workshops, IEEE, pp. 2986-2994, 2018.Keywords: optical character recognition, OCR, handwritten text recognition. [bibtex] [pdf] [doi]
[aznan18ssvep] On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks (N.K.N. Aznan, S. Bonner, J. Connolly, N. Al Moubayed, T.P. Breckon), In Proc. Int. Conf. on Systems, Man, and Cybernetics, IEEE, pp. 3726-3731, 2018.Keywords: ssvep, brain computer interface, bci, cnn, neural networks, convolutional neural networks, deep learning, low-cost eeg. [bibtex] [pdf] [doi] [poster]
[akcay18ganomaly] GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training (S. Akcay, A. Atapour-Abarghouei, T.P. Breckon), In Proc. Asian Conference on Computer Vision, Springer, pp. 622-637, 2018.Keywords: anomaly detection, GAN, generative adversarial networks. [bibtex] [pdf] [doi] [arxiv] [software] [poster]
[kerner18profiling] Author Profiling: Gender Prediction from Tweets and Images (Y. Hacohen-Kerner, Y. Yigal, E. Shayovitz, D. Miller, T.P. Breckon), In Proc. Conf. and Labs of the Evaluation Forum (Workshop) – Working Notes Papers, CEUR-WS, Volume 2125, pp. 1-14, 2018. (ISSN: 1613-0073)Keywords: author profiling, gender classification,content-based features, style-based features,images,supervised machine learning, tweets, visualfeatures. [bibtex] [pdf]
[pdlg18panoramic] Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery (G. Payen de La Garanderie, A. Atapour-Abarghouei, T.P. Breckon), In Proc. European Conference on Computer Vision, Springer, pp. 812-830, 2018.Keywords: monocular depth, 360 monocular depth, 3D object pose, 360 video, 3D bounding box, vehicle detection. [bibtex] [pdf] [doi] [demo] [software] [poster]
[dunnings18fire] Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection (A. Dunnings, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 1558-1562, 2018.Keywords: fire detection, CNN, deep-learning real-time, non-temporal. [bibtex] [pdf] [doi] [demo] [software] [dataset] [poster]
[guo18raindrop] On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks (T. Guo, S. Akcay, P. Adey, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 3413-3417, 2018.Keywords: raindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification, CNN, deep learning. [bibtex] [pdf] [doi] [software] [poster]
[dong18colourization] Infrared Image Colorization Using S-Shape Network (Z. Dong, S. Kamata, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 2242-2246, 2018.Keywords: deep learning, image colorization, near infrared, false colour. [bibtex] [pdf] [doi]
[akcay18architectures] On Using Deep Convolutional Neural Network Architectures for Automated Object Detection and Classification within X-ray Baggage Security Imagery (S. Akcay, M.E Kundegorski, C.G. Willcocks, T.P. Breckon), In IEEE Transactions on Information Forensics & Security, IEEE, Volume 13, No. 9, pp. 2203-2215, 2018.Keywords: x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, R-FCN, RCNN, Faster RCNN, ResNet, YOLO. [bibtex] [pdf] [doi] [demo]
[pearson18forest] Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy (B.G. Maciel-Pearson, P. Carbonneau, T.P. Breckon), In Proc. Towards Autonomous Robotic Systems Conference, Springer, pp. 147-158, 2018.Keywords: drone, deep learning, convolutional neural network, robot guidance, flight guidance, unmanned aerial vehicle, unmanned aerial system, monocular, pathway detection. [bibtex] [pdf] [doi] [demo] [dataset]
[alshammari18invariant] On the Impact of Illumination-Invariant Image Pre-transformation on Contemporary Automotive Semantic Scene Understanding (N. Alshammari, S. Akcay, T.P. Breckon), In Proc. Intelligent Vehicles Symposium, IEEE, pp. 1027-1032, 2018.Keywords: illumination invariance, semantic scene segmentation, pre-processing, CNN, all-weather performance, deep learning. [bibtex] [pdf] [doi] [demo] [poster]
[lin18spherical] Real-time Low-Cost Omni-directional Stereo Vision via Bi-Polar Spherical Cameras (K. Lin, T.P. Breckon), In Proc. Int. Conf. Image Analysis and Recognition, Springer, pp. 315-325, 2018.Keywords: stereo vision, spherical camera, angular disparity correction, bi-polar stereo, vertical stereo, spherical stereo. [bibtex] [pdf] [doi] [demo] [poster]
[abarghouei18monocular] Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer (A. Atapour-Abarghouei, T.P. Breckon), In Proc. Computer Vision and Pattern Recognition, IEEE, pp. 2800-2810, 2018.Keywords: monocular depth, generative adversarial network, GAN, depth map, disparity, depth from single image, style transfer. [bibtex] [pdf] [doi] [demo] [software] [poster]
[holder18offroad] Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction (C. Holder, T.P. Breckon), In Proc. Intelligent Vehicles Symposium, IEEE, pp. 2104-2110, 2018.Keywords: end-to-end autonomous driving, off-road autonomous vehicles, stereo visual odometry, path prediction, steering control. [bibtex] [pdf] [doi] [demo]
[abarghouei18patch] Extended Patch Prioritization For Depth Hole Filling Within Constrained Exemplar-Based RGB-D Image Completion (A. Atapour-Abarghouei, T.P. Breckon), In Proc. Int. Conf. Image Analysis and Recognition, Springer, pp. 306-314, 2018. (Best Paper Award)Keywords: depth filling, RGB-D, surface relief, hole filling, surface completion, 3D texture, depth completion, depth map, disparity hole filling. [bibtex] [pdf] [doi] [demo]
[holder18offroaddepth] Encoding Stereoscopic Depth Features for Scene Understanding in Off-Road Environments (C.J. Holder, T.P. Breckon), In Proc. Int. Conf. Image Analysis and Recognition, Springer, pp. 427-434, 2018.Keywords: automotive vision, terrain segmentation, terrain segments, transfer learning, convolutional neural networks, stereo vision. [bibtex] [pdf] [doi]
[loveday18parallax] On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling (M. Loveday, T.P. Breckon), In Proc. Computer Vision and Pattern Recognition Workshops, IEEE, pp. 1267-1276, 2018.Keywords: thermal, infrared, beamsplitter, registration, background modelling, thermal visible fusion, far infrared, LWIR. [bibtex] [pdf] [doi] [demo]
[abarghouei18review] A Comparative Review of Plausible Hole Filling Strategies in the Context of Scene Depth Image Completion (A. Atapour-Abarghouei, T.P. Breckon), In Computers and Graphics, Elsevier, Volume 72, pp. 39-58, 2018.Keywords: depth filling, RGB-D, hole filling, surface completion, 3D completion, depth completion, depth map, disparity hole filling. [bibtex] [pdf] [doi]

2017

[pearson17forest] An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy (B.G. Maciel-Pearson, T.P. Breckon), In Proc. Conf. on Robotics and Autonomous Systems - Robots that Work Among Us Workshop, UK Robotics and Autonomous Systems Network, pp. 1-3, 2017.Keywords: drone, deep learning, convolutional neural network, robot guidance, flight guidance, unmanned aerial vehicle, unmanned aerial system, monocular, pathway detection. [bibtex] [pdf] [demo] [poster] [more information]
[qian17clustering] Clustering in Pursuit of Temporal Correlation for Human Motion Segmentation (C. Qian, T.P. Breckon, Z. Xu), In Multimedia Tools and Applications, Springer, pp. 1-17, 2017.Keywords: visual tracking, human motion segmentation, temporal correlation, temporal clustering, spectral clustering. [bibtex] [pdf] [doi]
[akcay17region] An Evaluation Of Region Based Object Detection Strategies Within X-Ray Baggage Security Imagery (S. Akcay, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 1337-1341, 2017.Keywords: x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, R-FCN, RCNN, Faster RCNN, ResNet. [bibtex] [pdf] [doi] [demo]
[wu17faces] Face Recognition via Deep Sparse Graph Neural Networks (R. Wu, S. Kamata, T.P. Breckon), In Proc. British Machine Vision Conference Workshops, BMVA, pp. 1-8, 2017.Keywords: face recognition, deep learning, deepid, deep neural networks, deep convolutional neural networks, dsgnn. [bibtex] [pdf]
[abarghouei17depthcomp] DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation (A. Atapour-Abarghouei, T.P. Breckon), In Proc. British Machine Vision Conference, BMVA, pp. 208.1-208.13, 2017.Keywords: depth filling, RGB-D, surface relief, hole filling, surface completion, 3D texture, depth completion, depth map, disparity hole filling. [bibtex] [pdf] [doi] [demo] [software] [poster]
[zhang17edges] Noise Robust Image Edge Detection based upon the Automatic Anisotropic Gaussian Kernels (W. Zhang, Y. Zhao, T.P. Breckon, L. Chen), In Pattern Recognition, Elsevier, Volume 63, No. 8, pp. 193–205, 2017.Keywords: automatic anisotropic Gaussian kernels, anisotropic directional derivatives (ANDDs), edge detection, Canny detector. [bibtex] [pdf] [doi]

2016

[abarghouei16filling] Back to Butterworth - a Fourier Basis for 3D Surface Relief Hole Filling within RGB-D Imagery (A. Atapour-Abarghouei, G. Payen de La Garanderie, T.P. Breckon), In Proc. Int. Conf. on Pattern Recognition, IEEE, pp. 2813-2818, 2016.Keywords: depth filling, RGB-D, surface relief, Fourier, DFT, hole filling, surface completion, frequency domain, 3D texture, depth completion, query expansion, depth map, texture synthesis, disparity hole filling, Butterworth filtering. [bibtex] [pdf] [doi] [demo]
[kundegorski16xray] On using Feature Descriptors as Visual Words for Object Detection within X-ray Baggage Security Screening (M.E. Kundegorski, S. Akcay, M. Devereux, A. Mouton, T.P. Breckon), In Proc. Int. Conf. on Imaging for Crime Detection and Prevention, IET, pp. 12 (6 .)-12 (6 .)(1), 2016.Keywords: x-ray security screening, automatic threat detection, firearms detection, bag of visual words, feature descriptors, airport security. [bibtex] [pdf] [doi] [demo] [talk]
[holder16offroad] From On-Road to Off: Transfer Learning within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes (C.J. Holder, T.P. Breckon, X. Wei), In Proc. European Conference on Computer Vision Workshops, Springer, pp. 149-162, 2016.Keywords: automotive vision, off-road semantic understanding, off-road computer vision, off-road scene labelling, terrain segmentation, terrain segments, transfer learning, convolutional neural networks, bag of visual words, deep learning. [bibtex] [pdf] [doi] [demo] [poster]
[sugimoto16bilateral] Constant-time Bilateral Filter using Spectral Decomposition (K. Sugimoto, T.P. Breckon, S. Kamata), In Proc. Int. Conf. on Image Processing, IEEE, pp. 3319-3323, 2016.Keywords: image filtering, noise removal, smoothing, edge preserving filter, denoising. [bibtex] [pdf] [doi]
[katramados16degraf] Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications (I. Katramados, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 300-304, 2016.Keywords: dense features, feature invariance, feature points, intensity weighted centroids, automotive vision. [bibtex] [pdf] [doi] [demo]
[hamilton16removal] Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow (O.K. Hamilton, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 3439-3443, 2016.Keywords: 3D, automotive stereo, optic flow, disparity projection, pedestrain removal, object removal, scene mapping. [bibtex] [pdf] [doi] [demo] [dataset] [talk]
[kundegorski16vehicle] Real-time Classification of Vehicle Types within Infra-red Imagery (M.E. Kundegorski, S. Akcay, G. Payen de La Garanderie, T.P. Breckon), In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 9995, pp. 1-16, 2016.Keywords: vehicle sub-category classification, thermal target tracking, bag of visual words, histogram of oriented gradient, convolutional neural network, sensor networks, passive target positioning, vehicle localization. [bibtex] [pdf] [doi] [demo]
[moubayed16spam] SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder (N. Al Moubayed, T.P. Breckon, P. Matthews, A.S. McGough), In Proc. Int. Conf. on Artificial Neural Networks, Springer, Volume 2, pp. 423-430, 2016.Keywords: topic modelling, text processing, deep learning. [bibtex] [pdf] [doi] [arxiv]
[akcay16transfer] Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery (S. Akcay, M.E. Kundegorski, M. Devereux, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 1057 -1061, 2016.Keywords: convolutional neural networks, deep learning, transfer learning, image classification, baggage X-ray security. [bibtex] [pdf] [doi]
[thomas16sapient] Towards Sensor Modular Autonomy for Persistent Land Intelligence Surveillance and Reconnaissance (P.A. Thomas, G.F. Marshall, D. Faulkner, P. Kent, S. Page, S. Islip, J. Oldfield, T.P. Breckon, M.E. Kundegorski, D. Clarke, T. Styles), In Proc. SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent Intelligence Surveillance and Reconnaissance VII, SPIE, Volume 9831, No. VII, pp. 1-18, 2016.Keywords: information fusion, tracking, multiple sensor, sensor networks, wide area surveillance, sapient, ISR, multi-modal, fused tracking, sapient. [bibtex] [pdf] [doi] [demo] [website]

2015

[kriechbaumer15vessel] Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications (T. Kriechbaumer, K. Blackburn, T.P. Breckon, O. Hamilton, M. Riva-Casado), In Sensors, MDPI, Volume 15, No. 12, pp. 31869-31887, 2015.Keywords: visual odometry, river monitoring, stereo vision, autonomous boat, watercraft, survey vessel, autonomous river navigation, GPS denied environments. [bibtex] [pdf] [doi] [poster]
[chermak15liquids] Geometrical Approach for the Automatic Detection of Liquid Surfaces in 3D Computed Tomography Baggage Imagery (L. Chermak, T.P. Breckon, G.T. Flitton, N. Megherbi), In Imaging Science Journal, Wiley, Volume 63, No. 8, pp. 447-457, 2015.Keywords: computed tomography, aviation security, 3D security screening, baggage imagery, planar fitting, elliptical fitting, liquid detection. [bibtex] [pdf] [doi]
[cavestany15robot] Improved 3D Sparse Maps for High-performance Structure from Motion with Low-cost Omnidirectional Robots (P. Cavestany, A.L. Rodriguez, H. Martinez-Barbera, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 4927-4931, 2015.Keywords: structure from motion, ill-conditioned baseline configurations, omnidirectional 3D, robot sensing, robot vision, 3D visual sensing, point clouds, robot scene mapping. [bibtex] [pdf] [doi] [dataset] [poster]
[qian15tracking] Robust Visual Tracking via Speedup Multiple Kernel Ridge Regression (C. Qian, T.P. Breckon, H. Li), In Journal of Electronic Imaging, SPIE, Volume 24, No. 5, pp. 1-17, 2015.Keywords: visual tracking, kernel ridge regression, multiple kernel learning, fast interpolate iterative algorithm. [bibtex] [pdf] [doi]
[webster15raindrop] Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation (D.D. Webster, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 4376-4380, 2015.Keywords: raindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification. [bibtex] [pdf] [doi] [demo] [poster]
[mouton15review] A Review of Automated Image Understanding within 3D Baggage Computed Tomography Security Screening (A. Mouton, T.P. Breckon), In Journal of X-Ray Science and Technology, IOS Press, Volume 23, No. 5, pp. 531-555, 2015.Keywords: baggage screening, automated image understanding, dual energy computed tomography, DECT, computer vision. [bibtex] [pdf] [doi]
[kundegorski15posture] Posture Estimation for Improved Photogrammetric Localization of Pedestrians in Monocular Infrared Imagery (M.E. Kundegorski, T.P. Breckon), In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 9652, No. XI, pp. 1-12, 2015.Keywords: thermal people detection, infrared, tracking, photogrammetry, tracking, posture estimation, pedestrian height regression, regressive height estimation. [bibtex] [pdf] [doi] [demo]
[flitton15codebooks] Object Classification in 3D Baggage Security Computed Tomography Imagery using Visual Codebooks (G.T. Flitton, A. Mouton, T.P. Breckon), In Pattern Recognition, Elsevier, Volume 48, No. 8, pp. 2489–2499, 2015.Keywords: luggage security, 3D bag of visual words, 3D object recognition, baggage threat detection, density gradient histogram, density histogram, SIFT, RIFT, material density recogniton, airport security, transport security, CT object recognition. [bibtex] [pdf] [doi]
[breszcz15mosaic] Real-time Construction and Visualization of Drift-Free Video Mosaics from Unconstrained Camera Motion (M. Breszcz, T.P. Breckon), In IET J. Engineering, IET, Volume 2015, No. 16, pp. 1-12, 2015.Keywords: mosaic, mosaicking, mosiacing, real-time, visualization, graphics acceleration, blending. [bibtex] [pdf] [doi] [demo] [poster]
[mouton15segmentation] Materials-Based 3D Segmentation of Unknown Objects from Dual-Energy Computed Tomography Imagery in Baggage Security Screening (A. Mouton, T.P. Breckon), In Pattern Recognition, Elsevier, Volume 48, No. 6, pp. 1961–1978, 2015.Keywords: luggage security, 3D segmentation, 3D material segmentation, effective-Z, density segmentation, airport security, transport security, CT segmentation. [bibtex] [pdf] [doi]

2014

[kurcius14audiovisual] Using Compressed Audio-visual Words for Multi-modal Scene Classification (J.J. Kurcius, T.P. Breckon), In Proc. International Workshop on Computational Intelligence for Multimedia Understanding, IEEE, pp. 1-5, 2014.Keywords: multi-resolution, bag of words, MFCC, compressed sensing, audio-visual, multi-modal, random projection matrix. [bibtex] [pdf] [doi]
[walger14headpose] A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions (D.J. Walger, T.P. Breckon, A. Gaszczak, T. Popham), In Proc. International Workshop on Computational Intelligence for Multimedia Understanding, IEEE, pp. 1-5, 2014.Keywords: head pose, driver head tracking, gaze tracking, pose estimation regression. [bibtex] [pdf] [doi] [demo]
[mouton14randomised] 3D Object Classification in Baggage Computed Tomography Imagery using Randomised Clustering Forests (A. Mouton, T.P. Breckon, G.T. Flitton, N. Megherbi), In Proc. Int. Conf. on Image Processing, IEEE, pp. 5202-5206, 2014.Keywords: . [bibtex] [pdf] [doi] [poster]
[kundegorski14photogrammetric] A Photogrammetric Approach for Real-time 3D Localization and Tracking of Pedestrians in Monocular Infrared Imagery (M.E. Kundegorski, T.P. Breckon), In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 9253, No. 01, pp. 1-16, 2014.Keywords: thermal people detection, infrared, tracking, photogrammetry, 3D tracking. [bibtex] [pdf] [doi] [demo]
[pdlg14depth] Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo (G. Payen de La Garanderie, T.P. Breckon), In Proc. British Machine Vision Conference, BMVA, pp. 417.1-417.12, 2014.Keywords: rgb-d, consumer depth camera, kinect, depth improvment, disparity space image, multimodal stereo, multi-modal, infrared colour stereo, depth map improvement, hole filling, structured light, disparity filling, disparity improvement, infrared stereo vision. [bibtex] [pdf] [doi] [poster]
[fisher14dictionary]Dictionary of Computer Vision and Image Processing (R.B. Fisher, T.P. Breckon, K. Dawson-Howe, A. Fitzgibbon, C. Robertson, E. Trucco, C.K.I. Williams), Wiley, 2014. (ISBN-13: 978-1119941866) [bibtex] [doi] [more information]

2013

[megherbi13segmentation] Investigating Existing Medical CT Segmentation Techniques within Automated Baggage and Package Inspection (N. Megherbi, T.P. Breckon, G.T. Flitton), In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 8901, No. L, pp. 1-8, 2013.Keywords: 3D baggage, 3D baggage classification, CT baggage scanning, threat detection in baggage, baggage segmentation. [bibtex] [pdf] [doi] [poster]
[megherbi13radon] Radon Transform based Metal Artefacts Generation in 3D Threat Image Projection (N. Megherbi, T.P. Breckon, G.T. Flitton, A. Mouton), In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 8901, No. B, pp. 1-7, 2013.Keywords: 3D baggage, 3D baggage classification, CT baggage scanning, threat detection in baggage, TIP, threat image projection. [bibtex] [pdf] [doi] [demo]
[mouton13mar] A Distance Weighted Method for Metal Artefact Reduction in CT (A. Mouton, N. Megherbi, T.P. Breckon, K. Van Slambrouck, J. Nuyts), In Proc. Int. Conf. on Image Processing, IEEE, pp. 2334-2338, 2013.Keywords: CT imagery, image denoising, mar. [bibtex] [pdf] [doi]
[flitton13interestpoint] A Comparison of 3D Interest Point Descriptors with Application to Airport Baggage Object Detection in Complex CT Imagery (G.T. Flitton, T.P. Breckon, N. Megherbi), In Pattern Recognition, Elsevier, Volume 46, No. 9, pp. 2420-2436, 2013.Keywords: automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage, 3D SIFT, 3D RIFT. [bibtex] [pdf] [doi] [demo]
[hamilton13stereo] A Foreground Object based Quantitative Assessment of Dense Stereo Approaches for use in Automotive Environments (O.K. Hamilton, T.P. Breckon, X. Bai, S. Kamata), In Proc. Int. Conf. on Image Processing, IEEE, pp. 418-422, 2013.Keywords: stereo vision, quantative assessment, foreground objects, automotive stereo vision. [bibtex] [pdf] [doi] [demo] [poster]
[han13humanpose] Human Pose Classification within the Context of Near-IR Imagery Tracking (J. Han, A. Gaszczak, R. Maciol, S.E. Barnes, T.P. Breckon), In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 8901, No. E, pp. 1-10, 2013.Keywords: human pose understanding, thermal imagery, tracking, weapon. [bibtex] [pdf] [doi]
[mise13superresolution] Image Super-Resolution Applied to Moving Targets in High Dynamics Scenes (O. Mise, T.P. Breckon), In Proc. SPIE Emerging Technologies in Security and Defence: Unmanned Sensor Systems, SPIE, Volume 8899, No. 17, pp. 1-12, 2013.Keywords: super-resolution, tracking. [bibtex] [pdf] [doi] [demo]
[chereau13stablization] Robust Motion Filtering as an Enabler to Video Stabilization for a Tele-operated Mobile Robot (R. Chereau, T.P. Breckon), In Proc. SPIE Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII, SPIE, Volume 8897, No. 01, pp. 1-17, 2013.Keywords: tele-operation, EOD, stablization, motion vector filtering, vibration. [bibtex] [pdf] [doi] [demo]
[breckon13autonomous] Multi-Modal Target Detection for Autonomous Wide Area Search and Surveillance (T.P. Breckon, A. Gaszczak, J. Han, M.L. Eichner, S.E. Barnes), In Proc. SPIE Emerging Technologies in Security and Defence: Unmanned Sensor Systems, SPIE, Volume 8899, No. 01, pp. 1-19, 2013.Keywords: autonomous robots, grand challenge, wide area search, search and rescue, UAV, infrared, thermal. [bibtex] [pdf] [doi] [demo]
[faria13aesthetics] Challenges of Finding Aesthetically Pleasing Images (J. Faria, S. Bagley, S. Rueger, T.P. Breckon), In Proc. International Workshop on Image and Audio Analysis for Multimedia Interactive Services, IEEE, pp. 1-4, 2013.Keywords: visual aesthetics, photographic quality assessment, visually pleasing, subjective image assessment. [bibtex] [pdf] [doi]
[mouton13survey] An Experimental Survey of Metal Artefact Reduction in Computed Tomography (A. Mouton, N. Megherbi, K. Van Slambrouck, J. Nuyts, T.P. Breckon), In Journal of X-Ray Science and Technology, IOS Press, Volume 21, No. 2, pp. 193-226, 2013.Keywords: metal artefact reduction, MAR comparision, CT imaging, CT security screening, baggage, medical. [bibtex] [pdf] [doi]
[breckon13patent] Image Processing (Real-time Visual Saliency by Division of Gaussians) (T.P. Breckon, I. Katramados), Patent, Assignee: Cranfield University, WIPO, No. WO2013034878A2, 2013. (Filed: 2011-09-09, Published: 2013-03-14) [bibtex] [pdf] [demo] [software] [more information]
[magnabosco13slam] Cross-Spectral Visual Simultaneous Localization And Mapping (SLAM) with Sensor Handover (M. Magnabosco, T.P. Breckon), In Robotics and Autonomous Systems, Volume 63, No. 2, pp. 195-208, 2013.Keywords: cross-spectral SLAM, sensor handover, self-localisation and mapping, thermal imagery, multi-modal SLAM, optical thermal SLAM. [bibtex] [pdf] [doi] [demo]
[mouton13denoising] An Evaluation of CT Image Denoising Techniques Applied to Baggage Imagery Screening (A. Mouton, G.T. Flitton, S. Bizot, N. Megherbi, T.P. Breckon), In Proc. Int. Conf. on Industrial Technology, IEEE, pp. 1063-1068, 2013.Keywords: CT imagery, image denoising, quantative evaulation. [bibtex] [pdf] [doi]
[mioulet13road] Gabor Features for Real-Time Road Environment Classification (L. Mioulet, T.P. Breckon, A. Mouton, H. Liang, T. Morie), In Proc. Int. Conf. on Industrial Technology, IEEE, pp. 1117-1121, 2013.Keywords: random forests, Gabor filters, histograms, road environment, scene classification. [bibtex] [pdf] [doi] [demo]
[turcsany13xray] Improving Feature-based Object Recognition for X-ray Baggage Security Screening using Primed Visual Words (D. Turcsany, A. Mouton, T.P. Breckon), In Proc. Int. Conf. on Industrial Technology, IEEE, pp. 1140-1145, 2013.Keywords: x-ray, security screening, object recognition. [bibtex] [pdf] [doi]
[solomonbreckon13fundamentos]Fundamentos de Processamento Digital de Imagens - Uma Abordagem Pratica com Exemplos em Matlab (C.J. Solomon, T.P. Breckon), LTC (Brazil), 2013. (Portuguese translation of Solomon/Breckon, 2010: J.R. Souza) [bibtex] [website] [more information]

2012

[breckon12multimodal] Consistency in Muti-modal Automated Target Detection using Temporally Filtered Reporting (T.P. Breckon, J. Han, J. Richardson), In Proc. SPIE Electro-Optical Remote Sensing, Photonic Technologies, and Applications VI, Volume 8542, No. 85420L-1, pp. 23:1-23:12, 2012.Keywords: thermal people detection, infrared, multimodal detection, temporal filtering, temporal detection strategy. [bibtex] [pdf] [doi] [demo]
[megherbi12tip] Fully Automatic 3D Threat Image Projection: Application to Densely Cluttered 3D Computed Tomography Baggage Images (N. Megherbi, T.P. Breckon, G.T. Flitton, A. Mouton), In Proc. Int. Conf. on Image Processing Theory, Tools and Applications, IEEE, pp. 153-159, 2012.Keywords: 3D baggage, 3D baggage classification, CT baggage scanning, threat detection in baggage, TIP, threat image projection. [bibtex] [pdf] [doi] [demo]
[pinggera12crossspectral] On Cross-Spectral Stereo Matching using Dense Gradient Features (P. Pinggera, T.P. Breckon, H. Bischof), In Proc. British Machine Vision Conference, BMVA, pp. 526.1-526.12, 2012.Keywords: stereo vision, thermal, multimodal stereo, thermal stereo, IR stereo, optical thermal stereo. [bibtex] [pdf] [doi] [demo] [poster]
[mouton12mar] A Novel Intensity Limiting Approach to Metal Artefact Reduction in 3D CT Baggage Imagery (A. Mouton, N. Megherbi, G.T. Flitton, S. Bizot, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 2057-2060, 2012.Keywords: CT imagery, image denoising, mar. [bibtex] [pdf] [doi]
[megherbi12baggage] A Comparison of Classification Approaches for Threat Detection in CT based Baggage Screening (N. Megherbi, J. Han, G.T. Flitton, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 3109-3112, 2012.Keywords: automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage. [bibtex] [pdf] [doi] [poster]
[breckon12completion] A Hierarchical Extension to 3D Non-parametric Surface Relief Completion (T.P. Breckon, R.B. Fisher), In Pattern Recognition, Elsevier, Volume 45, pp. 172-185, 2012.Keywords: relief completion, amodal completion, volume completion, visual completion, perceptual completion, surface completion. [bibtex] [pdf] [doi] [demo]
[carey12histology] Correlating Histology and Spectroscopy to Differentiate Pathologies of the Colon (D. Carey, N. Shepherd, C. Kendall, N. Stone, T.P. Breckon, G.R. Lloyd), In Proc. Conference on Medical Image Understanding and Analysis, pp. 243-248, 2012.Keywords: automated microscopy. [bibtex] [pdf]
[flitton12cortex] A 3D Extension to Cortex Like Mechanisms for 3D Object Class Recognition (G.T. Flitton, T.P. Breckon, N. Megherbi), In Proc. Computer Vision and Pattern Recognition, IEEE, pp. 3634-3641, 2012.Keywords: hmax, automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage. [bibtex] [pdf] [doi] [demo] [poster]
[mroz12stereo] An Empirical Comparison of Real-time Dense Stereo Approaches for use in the Automotive Environment (F. Mroz, T.P. Breckon), In EURASIP Journal on Image and Video Processing, Springer, Volume 2012, No. 13, pp. 1-19, 2012.Keywords: stereo vision, dense correspondance, semi-global matching, automotive stereo, vehicle-based stereo vision, survey, review. [bibtex] [pdf] [doi] [demo]
[kheyrollahi12marking] Automatic Real-time Road Marking Recognition Using a Feature Driven Approach (A. Kheyrollahi, T.P. Breckon), In Machine Vision and Applications, Springer, Volume 23, No. 1, pp. 123-133, 2012.Keywords: road marking recognition, vanishing point detection, intelligent vehicles. [bibtex] [pdf] [doi] [demo]
[han12cell] The Application of Support Vector Machine Classification to Detect Cell Nuclei for Automated Microscopy (J. Han, T.P. Breckon, D.A. Randell, G. Landini), In Machine Vision and Applications, Springer, Volume 23, No. 1, pp. 15-24, 2012.Keywords: cell nuclei detection, automated microscopy, support vector machines. [bibtex] [pdf] [doi] [demo]

2011

[bordes11ar] Adaptive Object Placement for Augmented Reality Use in Driver Assistance Systems (L. Bordes, T.P. Breckon, I. Katramados, A. Kheyrollahi), In Proc. 8th European Conference on Visual Media Production, IET, pp. sp-1, 2011.Keywords: augmented reality, road segmentation, driver assistance systems. [bibtex] [pdf] [demo] [poster]
[heras11driving] Video Re-sampling and Content Re-targeting for Realistic Driving Incident Simulation (A.M. Heras, T.P. Breckon, M. Tirovic), In Proc. 8th European Conference on Visual Media Production, IET, pp. sp-2, 2011.Keywords: Motion Frame Rate Up-Converters (MFRUC), frame interpolation, object segmentation, feature tracking. [bibtex] [pdf] [demo] [poster]
[chenebert11fire] A Non-temporal Texture Driven Approach to Real-time Fire Detection (A. Chenebert, T.P. Breckon, A. Gaszczak), In Proc. Int. Conf. on Image Processing, IEEE, pp. 1781-1784, 2011.Keywords: fire detection, texture, real-time, non-temporal. [bibtex] [pdf] [doi] [demo] [poster]
[katramados11salient] Real-time Visual Saliency by Division of Gaussians (I. Katramados, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 1741-1744, 2011.Keywords: salient, saliency, DoG. [bibtex] [pdf] [doi] [demo] [software]
[tang11classification] Automatic Road Environment Classification (I. Tang, T.P. Breckon), In IEEE Transactions on Intelligent Transportation Systems, IEEE, Volume 12, No. 2, pp. 476-484, 2011.Keywords: road type classification, colour texture classification, automotive vision, terrain classification. [bibtex] [pdf] [doi] [demo]
[breszcz11uavmosaic] Real-time Mosaicing from Unconstrained Video Imagery for UAV Applications (M. Breszcz, T.P. Breckon, I. Cowling), In Proc. 26th Int. Conf. on Unmanned Air Vehicle Systems, pp. 32.1-32.8, 2011.Keywords: mosaic, mosaicking, mosiacing, real-time, visualization, UAV, in-flight. [bibtex] [pdf] [demo]
[breckon11vr] Realizing Perceptive Virtual Reality Imaging Applications on Conventional PC Hardware (T.P. Breckon, K.W. Jenkins, P. Sonkoly), In Imaging Science Journal, Maney, Volume 59, No. 1, pp. 1-7, 2011.Keywords: virtual reality, projective image display, 3D anaglyph stereo, low cost. [bibtex] [pdf] [doi] [demo]
[gaszczak11uavpeople] Real-time People and Vehicle Detection from UAV Imagery (A. Gaszczak, T.P. Breckon, J. Han), In Proc. SPIE Conference Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, Volume 7878, No. 78780B, 2011.Keywords: UAV image analysis, people detection, aerial image analysis, infrared, thermal. [bibtex] [pdf] [doi] [demo] [poster]

2010

[megherbi10baggage] A Classifier based Approach for the Detection of Potential Threats in CT based Baggage Screening (N. Megherbi, G.T. Flitton, T.P. Breckon), In Proc. Int. Conf. on Image Processing, IEEE, pp. 1833-1836, 2010.Keywords: automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage.. [bibtex] [pdf] [doi]
[flitton10baggage] Object Recognition using 3D SIFT in Complex CT Volumes (G.T. Flitton, T.P. Breckon, N. Megherbi), In Proc. British Machine Vision Conference, BMVA, pp. 11.1-12, 2010.Keywords: automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage, 3D SIFT. [bibtex] [pdf] [doi] [demo] [poster]
[kowaliszyn10correction] Automatic Road Feature Detection and Correlation for the Correction of Consumer Satellite Navigation System Mapping (M. Kowaliszyn, T.P. Breckon), In Proc. IET/ITS Conf. on Road Transport Information and Control, IET, pp. 2-9, 2010.Keywords: automotive vision, mapping. [bibtex] [pdf] [doi] [poster]
[sokalski10uavsalient] Automatic Salient Object Detection in UAV Imagery (J. Sokalski, T.P. Breckon, I. Cowling), In Proc. 25th Int. Conf. on Unmanned Air Vehicle Systems, pp. 11.1-11.12, 2010.Keywords: salient objects, image saliency, salient object search, UAV. [bibtex] [pdf] [poster]
[solomonbreckon10fundamentals]Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab (C.J. Solomon, T.P. Breckon), Wiley-Blackwell, 2010. (ISBN-13: 978-0470844731) [bibtex] [doi] [website] [more information]
[landini10morphological]Morphologic Characterization of Cell Neighborhoods in Neoplastic and Preneoplastic Epithelium (G. Landini, D.A. Randell, T.P. Breckon, J. Han), In Int. Journal of Analytical and Quantitative Cytology and Histology, Volume 32, No. 1, pp. 30-38, 2010. [bibtex]

2009

[golebiowski09volume] Volumetric Representation for Interactive Video Editing (R. Golebiowski, T.P. Breckon, G.T. Flitton), In Proc. 6th European Conference on Visual Media Production, IET, pp. 13, 2009.Keywords: video visualization, opacity, volume rendering, video volume. [bibtex] [pdf] [poster]
[breckon09uavvehicles] Autonomous Real-time Vehicle Detection from a Medium-Level UAV (T.P. Breckon, S.E. Barnes, M.L. Eichner, K. Wahren), In Proc. 24th Int. Conf. on Unmanned Air Vehicle Systems, pp. 29.1-29.9, 2009.Keywords: vehicle detection, UAV image analysis. [bibtex] [pdf] [demo]
[wahren09uavgc]Development of a Two-Tier Unmanned Air System for the MoD Grand Challenge (K. Wahren, I. Cowling, Y. Patel, P. Smith, T.P. Breckon), In Proc. 24th Int. Conf. on Unmanned Air Vehicle Systems, pp. 13.1 - 13.9, 2009.Keywords: threat detection, sniper detection, MoD grand challenge, vehicle detection, thermal person detection, UAV aerial image classification, thermal image processing, path detection, robot guidance, terrain classification, road following. [bibtex] [demo]
[katramados09travsurface] Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis (I. Katramados, S. Crumpler, T.P. Breckon), In Proc. Int. Conf. on Computer Vision Systems, Springer, Volume 5815, pp. 265–274, 2009.Keywords: path detection, robot guidance, Traversable pathway, terrain classification, road following, robotic navigation. [bibtex] [pdf] [doi] [demo] [dataset] [poster]

2008

[breckon08completion] 3D Surface Relief Completion Via Non-parametric Techniques (T.P. Breckon, R.B. Fisher), In IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE, Volume 30, No. 12, pp. 2249 - 2255, 2008.Keywords: 3D relief completion, amodal completion, volume completion, visual completion, perceptual completion, visual propagation, 3D surface completion. [bibtex] [pdf] [doi] [demo]
[desile08meshdetail] 3D Colour Mesh Detail Enhancement Driven from 2D Texture Edge Information (Q. Breckon T.P. Desile), In Proc. 5th European Conference on Visual Media Production, IET, pp. SP-4, 2008.Keywords: geometric texture synthesis, texture transfer, 3D texture, surface relief, 3D mesh, surface texture, bump mapping by example, displacement mapping, displacement synthesis. [bibtex] [pdf] [doi] [demo] [poster]
[rzeznik08gesture] Gesture Recognition using a Laser Pointer (J. Rzeznik, S.E. Barnes, T.P. Breckon), In Proc. 5th European Conference on Visual Media Production, IET, pp. SP-1, 2008.Keywords: gesture recognition. [bibtex] [pdf] [doi] [poster]
[han08cell] Radicular Cysts and Odontogenic Keratocysts Epithelia Classification using Cascaded Haar Classifiers (J. Han, T.P. Breckon, D.A. Randell, G. Landini), In Proc. 12th Annual Conference on Medical Image Understanding and Analysis, pp. 54-58, 2008.Keywords: automated microscopy, cell detection, cell counting. [bibtex] [pdf] [demo] [poster]
[eichner08speedlimit_a] Integrated Speed Limit Detection and Recognition from Real-Time Video (M. L. Eichner, T.P. Breckon), In Proc. IEEE Intelligent Vehicles Symposium, IEEE, pp. 626-631, 2008.Keywords: automotive vision, real-time sign detection, speed limit detection, RANSAC. [bibtex] [pdf] [doi] [demo] [poster]
[eichner08speedlimit_b] Augmenting GPS Speed Limit Monitoring with Road Side Visual Information (M. L. Eichner, T.P. Breckon), In Proc. IET/ITS Conf. on Road Transport Information and Control, IET, pp. 1-5, 2008.Keywords: automotive vision, real-time sign detection, speed limit detection, RANSAC. [bibtex] [pdf] [doi] [demo]

2007

[li07motion] Combining Motion Segmentation and Feature Based Tracking for Object Classification and Anomaly Detection (X. Li, T.P. Breckon), In Proc. 4th European Conference on Visual Media Production, IET, pp. I-6, 2007.Keywords: visual surveillance, optical flow, person tracking, pedestrian tracking. [bibtex] [pdf] [doi] [demo] [poster]
[zirnhelt07artwork] Artwork Image Retrieval using Weighted Colour and Texture Similarity (S. Zirnhelt, T.P. Breckon), In Proc. 4th European Conference on Visual Media Production, IET, pp. II-8, 2007.Keywords: art, colour features, texture features, GLCM. [bibtex] [pdf] [doi] [poster]
[flitton07volume] Considering Video as a Volume (G.T. Flitton, T.P. Breckon), In Proc. 4th European Conference on Visual Media Production, IET, pp. II-7, 2007.Keywords: volumetric video, 3D video, space-time video, spatio-temporal video. [bibtex] [pdf] [doi] [demo] [poster]
[eichner07headlights] Real-Time Video Analysis for Vehicle Lights Detection using Temporal Information (M. L. Eichner, T.P. Breckon), In Proc. 4th European Conference on Visual Media Production, IET, pp. I-9, 2007.Keywords: automotive vision, headlight detection, light tracking. [bibtex] [pdf] [doi] [demo] [poster]
[breckon07measurement]3D Measurement for Asset and Environment Authentication and Analysis (T.P. Breckon), In Proc. 4th Int. Conf. on Condition Monitoring, British Institute of Non-Destructive Testing, pp. 1-10, 2007. [bibtex]

2006

[breckon06transfer] Direct Geometric Texture Synthesis and Transfer on 3D Meshes (T.P. Breckon, R.B. Fisher), In Proc. 3rd European Conference on Visual Media Production, IET, pp. 186, 2006.Keywords: geometric texture synthesis, texture transfer, 3D texture, surface relief, 3D mesh, surface texture, bump mapping by example, displacement mapping, displacement synthesis. [bibtex] [pdf] [doi] [demo] [poster]
[breckon06completion] Completing Unknown Portions of 3D Scenes via 3D Visual Propogation (T.P. Breckon), PhD thesis, School of Informatics, University of Edinburgh, 2006. (Edinburgh Research Archive Entry: 1842/1244) [bibtex] [pdf] [demo] [more information]

2005

[breckon05colour] Plausible 3D Colour Surface Completion using Non-parametric Techniques (T.P. Breckon, R.B. Fisher), In Proc. Mathematics of Surfaces XI, Springer-Verlag, Volume 3604, No. , pp. 102-120, 2005.Keywords: 3D colour completion, 3D colour synthesis, texture synthesis on surfaces, colour relief synthesis, displacement synthesis, context-based completion. [bibtex] [pdf] [doi] [demo]
[breckon05amodal] Amodal Volume Completion: 3D Visual Completion (T.P. Breckon, R.B. Fisher), In Computer Vision and Image Understanding, Elsevier, Volume 99, No. 3, pp. 499-526, 2005.Keywords: amodal completion, volume completion, visual completion, perceptual completion, visual propagation. [bibtex] [pdf] [doi]
[breckon05nonparametric] Non-parametric 3D Surface Completion (T.P. Breckon, R.B. Fisher), In Proc. Fifth Int. Conf. on 3D Digital Imaging and Modeling, IEEE, pp. 573-580, 2005.Keywords: visual completion, model completion, contextual completion, 3D completion, context-based completion, range data, 3D mesh, occlusion resolution, displacement mapping, 3D texture synthesis, geometric texture synthesis, 3D relief synthesis, surface completion. [bibtex] [pdf] [doi] [demo] [poster]
[breckon05realistic]A Non-parametric Approach to Realistic Surface Completion in 3D Environments (T.P. Breckon, R.B. Fisher), In Proc. Postgraduate Research Conference in Electronics, Photonics, Communications and Networks, and Computing Science, EPSRC, pp. 122, 2005. [bibtex]

2004

[breckon04authentication] Environment Authentication through 3D Structural Analysis (T.P. Breckon, R.B. Fisher), In Proc. Int. Conf. on Image Analysis and Recognition, Springer-Verlag, Volume 3211, pp. 680-687, 2004.Keywords: 3D reasoning, range data, shape fitting. [bibtex] [pdf] [doi]

My Erdos number is 4.

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