Outputs (273)

Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection (2018)
Presentation / Conference Contribution
Dunnings, A., & Breckon, T. (2018, October). Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection. Presented at 25th IEEE International Conference on Image Processing (ICIP)., Athens, Greece

In this work we investigate the automatic detection of fire pixel regions in video (or still) imagery within real-time bounds without reliance on temporal scene information. As an extension to prior work in the field, we consider the performance of e... Read More about Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection.

Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery (2018)
Presentation / Conference Contribution
Payen de La Garanderie, G., Atapour-Abarghouei, A., & Breckon, T. (2018, September). Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery. Presented at 15th European Conference on Computer Vision (ECCV 2018), Munich, Germany

Recent automotive vision work has focused almost exclusively on processing forward-facing cameras. However, future autonomous vehicles will not be viable without a more comprehensive surround sensing, akin to a human driver, as can be provided by 360... Read More about Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery.

2D and 3D vascular structures enhancement via multiscale fractional anisotropy tensor (2018)
Presentation / Conference Contribution
Alhasson, H. F., Alharbi, S. S., & Obara, B. (2018, September). 2D and 3D vascular structures enhancement via multiscale fractional anisotropy tensor. Presented at European Conference on Computer Vision, Munich, Germany

On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling (2018)
Presentation / Conference Contribution
Loveday, M., & Breckon, T. (2018, June). On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling. Presented at Computer Vision and Pattern Recognition Workshops (CVPR) 2018., Salt Lake City, Utah, USA

Real-time Low-Cost Omni-directional Stereo Vision via Bi-Polar Spherical Cameras (2018)
Presentation / Conference Contribution
Lin, K., & Breckon, T. (2018, June). Real-time Low-Cost Omni-directional Stereo Vision via Bi-Polar Spherical Cameras. Presented at 15th International Conference on Image Analysis and Recognition (ICIAR 2018)., Póvoa de Varzim, Portugal

With the rise of consumer-grade spherical cameras, offering full omni-directional 360∘ image capture, the potential for low-cost omni-directional stereo vision is ever present. Whilst this potentially offers novel low-cost omni-directional depth sens... Read More about Real-time Low-Cost Omni-directional Stereo Vision via Bi-Polar Spherical Cameras.

Encoding Stereoscopic Depth Features for Scene Understanding in Off-Road Environments (2018)
Presentation / Conference Contribution
Holder, C., & Breckon, T. (2018, June). Encoding Stereoscopic Depth Features for Scene Understanding in Off-Road Environments. Presented at 15th International Conference on Image Analysis and Recognition (ICIAR 2018)., Póvoa de Varzim, Portugal

A conceptual framework for social movements analytics for national security (2018)
Presentation / Conference Contribution
Cárdenas, P., Theodoropoulos, G., Obara, B., & Kureshi, I. (2018, June). A conceptual framework for social movements analytics for national security. Presented at International Conference on Computational Science, Wuxi, China

Social media tools have changed our world due to the way they convey information between individuals; this has led to many social movements either starting on social media or being organised and managed through this medium. At times however, certain... Read More about A conceptual framework for social movements analytics for national security.

Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion (2018)
Presentation / Conference Contribution
Atapour-Abarghouei, A., & Breckon, T. P. (2018, December). Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion. Presented at International Conference Image Analysis and Recognition, Póvoa de Varzim, Portugal

We address the problem of hole filling in depth images, obtained from either active or stereo sensing, for the purposes of depth image completion in an exemplar-based framework. Most existing exemplar-based inpainting techniques, designed for color i... Read More about Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion.

On the Impact of Illumination-Invariant Image Pre-transformation on Contemporary Automotive Semantic Scene Understanding (2018)
Presentation / Conference Contribution
Alshammari, N., Akcay, S., & Breckon, T. (2018, June). On the Impact of Illumination-Invariant Image Pre-transformation on Contemporary Automotive Semantic Scene Understanding. Presented at The 29th IEEE Intelligent Vehicles Symposium (IEEE IV 2018)., Changshu, China

Extended Patch Prioritization For Depth Hole Filling Within Constrained Exemplar-Based RGB-D Image Completion (2018)
Presentation / Conference Contribution
Atapour-Abarghouei, A., & Breckon, T. (2018, June). Extended Patch Prioritization For Depth Hole Filling Within Constrained Exemplar-Based RGB-D Image Completion. Presented at 15th International Conference on Image Analysis and Recognition (ICIAR 2018)., Póvoa de Varzim, Portugal

Cutting-Edge VR/AR Display Technologies (Gaze-, Accommodation-, Motion-aware and HDR-enabled) (2018)
Presentation / Conference Contribution
Koulieris, G.-A., Akşit, K., Richardt, C., Mantiuk, R., & Mania, K. (2018, March). Cutting-Edge VR/AR Display Technologies (Gaze-, Accommodation-, Motion-aware and HDR-enabled). Presented at IEEE VR 2018: 25th IEEE Conference on Virtual Reality and 3D User Interfaces., Reutlingen, Germany

Near-eye (VR/AR) displays suffer from technical, interaction as well as visual quality issues which hinder their commercial potential. This tutorial will deliver an overview of cutting-edge VR/AR display technologies, focusing on technical, interacti... Read More about Cutting-Edge VR/AR Display Technologies (Gaze-, Accommodation-, Motion-aware and HDR-enabled).

Curvilinear structure enhancement by multiscale top-hat tensor in 2D/3D images (2018)
Presentation / Conference Contribution
Alharbi, S. S., Sazak, C., Nelson, C. J., & Obara, B. (2018, December). Curvilinear structure enhancement by multiscale top-hat tensor in 2D/3D images. Presented at IEEE International Conference on Bioinformatics and Biomedicine, Madrid, Spain

The multiscale bowler-hat transform for vessel enhancement in 3D biomedical images (2018)
Presentation / Conference Contribution
Sazak, C., Nelson, C. J., & Obara, B. (2018, September). The multiscale bowler-hat transform for vessel enhancement in 3D biomedical images. Presented at The 29th British Machine Vision Conference (BMVC 2018)., Newcastle, UK

Visual siamese clustering for cosmetic product recommendation (2018)
Presentation / Conference Contribution
Holder, C., & Obara, B. (2018, December). Visual siamese clustering for cosmetic product recommendation. Presented at 14th Asian Conference on Computer Vision (ACCV)., Perth, Australia

We investigate the problem of a visual similarity-based recommender system, where cosmetic products are recommended based on the preferences of people who share similarity of visual features. In this work we train a Siamese convolutional neural netwo... Read More about Visual siamese clustering for cosmetic product recommendation.

Single Image Watermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks (2018)
Presentation / Conference Contribution
Zhang, X., Wang, Q., & Ivrissimtzis, I. (2018, December). Single Image Watermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks. Presented at EG UK Computer Graphics & Visual Computing, Swansea, UK

In this paper we propose and analyse a method for watermarking 3D printed objects, concentrating on the watermark retrieval problem. The method embeds the watermark in a planar region of the 3D printed object in the form of small semi-spherical or cu... Read More about Single Image Watermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks.

A user study on quantisation thresholds of triangle meshes (2017)
Presentation / Conference Contribution
Almutairi, A., Saarela, T., & Ivrissimtzis, I. (2017, September). A user study on quantisation thresholds of triangle meshes. Presented at Computer Graphics and Visual Computing (CGVC) 2017., Manchester, England

We present the results of a user study on estimating a quantisation threshold above which the quantised triangle mesh is perceived as indistinguishable from its unquantised original. The design of the experiment and the analysis of the results focus... Read More about A user study on quantisation thresholds of triangle meshes.

An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy (2017)
Presentation / Conference Contribution
Maciel-Pearson, B., & Breckon, T. (2017, December). An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy. Presented at The UK-RAS Network Conference on Robotics and Autonomous Systems: robots working for and among us., Bristol, England

Autonomous flight within a forest canopy represents a key challenge for generalised scene understanding on-board a future Unmanned Aerial Vehicle (UAV) platform. Here we present an approach for automatic trail navigation within such an environment th... Read More about An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy.

Evaluating the quality of graph embeddings via topological feature reconstruction (2017)
Presentation / Conference Contribution
Bonner, S., Brennan, J., Kureshi, I., Theodoropoulos, G., McGough, S., & Obara, B. (2017, December). Evaluating the quality of graph embeddings via topological feature reconstruction. Presented at 2017 IEEE International Conference on Big Data, Boston, MA

Order-randomized Laplacian mesh smoothing (2017)
Presentation / Conference Contribution
Yang, Y., Rushmeier, H., & Ivrissimtzis, I. (2016, June). Order-randomized Laplacian mesh smoothing. Presented at 9th International Conference on Mathematical Methods for Curves and Surfaces, Tønsberg, Norway

In this paper we compare three variants of the graph Laplacian smoothing. The first is the standard synchronous implementation, corresponding to multiplication by the graph Laplacian matrix. The second is a voter process inspired asynchronous impleme... Read More about Order-randomized Laplacian mesh smoothing.

Face Recognition via Deep Sparse Graph Neural Networks (2017)
Presentation / Conference Contribution
Wu, R., Kamata, S., & Breckon, T. (2017, September). Face Recognition via Deep Sparse Graph Neural Networks. Presented at 28th British Machine Vision Conference (BMVC) 2017., London, UK