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Outputs (190)

Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo
Presentation / Conference Contribution
Payen de La Garanderie, G., & Breckon, T. (2014, September). Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo. Presented at Proceedings of the British Machine Vision Conference

We address the issue of improving depth coverage in consumer depth cameras based on the combined use of cross-spectral stereo and near infra-red structured light sensing. Specifically we show that fusion of disparity over these modalities, within the... Read More about Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo.

A Distance Weighted Method for Metal Artefact Reduction in CT
Presentation / Conference Contribution
Mouton, A., Megherbi, N., Breckon, T., Van Slambrouck, K., & Nuyts, J. (2013, September). A Distance Weighted Method for Metal Artefact Reduction in CT. Presented at Proc. International Conference on Image Processing

Volumetric Representation for Interactive Video Editing
Presentation / Conference Contribution
Golebiowski, R., Breckon, T., & Flitton, G. (2009, November). Volumetric Representation for Interactive Video Editing. Presented at Proc. 6th European Conference on Visual Media Production

Challenges of Finding Aesthetically Pleasing Images
Presentation / Conference Contribution
Faria, J., Bagley, S., Rueger, S., & Breckon, T. (2013, July). Challenges of Finding Aesthetically Pleasing Images. Presented at Proc. International Workshop on Image and Audio Analysis for Multimedia Interactive Services

A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions
Presentation / Conference Contribution
Walger, D., Breckon, T., Gaszczak, A., & Popham, T. (2014, November). A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions. Presented at Proc. International Workshop on Computational Intelligence for Multimedia Understanding

Head pose estimation provides key information about driver activity and awareness. Prior comparative studies are limited to temporally consistent illumination conditions under the assumption of brightness constancy. By contrast the illumination condi... Read More about A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions.