1. Michaël Fonder, Damien Ernst, and Marc Van Droogenbroeck. Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments. Sensors, 22(23):1-22, December 2022. Keyword(s): Depth, Depth estimation, Deep learning, Drone, UAV, Parallax. [bibtex-entry]



2. Michaël Fonder and Marc Ernst, DamienVan Droogenbroeck. M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments. ArXiv, abs/2105.09847, May 2021. Keyword(s): Depth estimation, Drone, UAV, Artificial Intelligence, Deep learning. [bibtex-entry]



3. Antoine Lejeune, Jacques G. Verly, and Marc Van Droogenbroeck. Probabilistic Framework for the Characterization of Surfaces and Edges in Range Images, with Application to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9):2209-2222, September 2018. Keyword(s): 3D, Range, Depth, Time-of-Flight, Probability density function, Edge detection, Surface, Kinect, Probabilistic framework. [bibtex-entry]



4. Antoine Lejeune, Sébastien Piérard, Marc Van Droogenbroeck, and Jacques Verly. Utilisation de la Kinect. Linux Magazine France, 151:16-29, Juillet-Août 2012. Keyword(s): Kinect, Image processing, 3D, Range, Depth map, Acquisition. [bibtex-entry]

1. Arnaud Leduc, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Depth: a Scalable Dataset for Monocular Depth Estimation in Sports Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2024. Keyword(s): Soccer, SoccerNet, Football, Depth estimation, Volley-ball, Synthetic data, Dataset. [bibtex-entry]



2. Michaël Fonder and Marc Van Droogenbroeck. A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles. In IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), Ohrid, North Macedonia, pages 1-5, June 2023. Keyword(s): Depth, Depth estimation, Depth uncertainty, Deep learning, Drone, UAV, Parallax. [bibtex-entry]



3. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Improving pose estimation by building dedicated datasets and using orientation. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Pose estimation, Human, Depth camera, 3D camera, Orientation. [bibtex-entry]



4. Marc Braham, Antoine Lejeune, and Marc Van Droogenbroeck. A physically motivated pixel-based model for background subtraction in 3D images. In IEEE International Conference on 3D Imaging (IC3D), Liège, Belgium, pages 1-8, December 2014. Keyword(s): Background subtraction, 3D, Range, Depth, Kinect. [bibtex-entry]



5. Antoine Lejeune, David Grogna, Marc Van Droogenbroeck, and Jacques Verly. Evaluation of pair-wise calibration techniques for range cameras and their ability to detect a mis-alignment. In International Conference on 3D Imaging (IC3D), Liège, Belgium, December 2014. Keyword(s): 3D, Range, Calibration, Depth, Time-of-Flight, Multi-camera. [bibtex-entry]



6. Antoine Lejeune, Marc Van Droogenbroeck, and Jacques Verly. Adaptive bilateral filtering for range images. In URSI Benelux Forum, Ghent, Belgium, September 2012. Keyword(s): 3D, Depth, Range camera, Bilateral filter, Kinect, Time-of-flight. [bibtex-entry]



7. Antoine Lejeune, Sébastien Piérard, Marc Van Droogenbroeck, and Jacques Verly. A new jump edge detection method for 3D cameras. In International Conference on 3D Imaging (IC3D), Liège, Belgium, pages 1-7, December 2011. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Edge, Edge detection, Canny, Kinect. [bibtex-entry]



8. Sébastien Piérard, Damien Leroy, Jean-François Hansen, and Marc Van Droogenbroeck, Marc. Estimation of human orientation in images captured with a range camera. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 6915 of Lecture Notes in Computer Science, pages 519-530, 2011. Springer. Keyword(s): Human, Orientation, Depth, Range camera, Machine learning, MakeHuman. [bibtex-entry]



9. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. 3D information is valuable for the detection of humans in video streams. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, December 2010. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Human, Detection, MakeHuman. [bibtex-entry]



10. J. Leens, Sébastien Piérard, Olivier Barnich, Marc Van Droogenbroeck, and Jean-Marc Wagner. Combining Color, Depth, and Motion for Video Segmentation. In Computer Vision Systems, volume 5815 of Lecture Notes in Computer Science, pages 104-113, 2009. Springer. Keyword(s): Range, 3D, Distance, ToF camera, Motion, Segmentation. [bibtex-entry]



11. Sébastien Piérard, Jéröme Leens, and Marc Van Droogenbroeck. Real-time processing of depth and color video streams to improve the reliability of depth maps. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, November 2009. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Background subtraction, Motion detection, Segmentation. [bibtex-entry]

1. Antoine Lejeune, Marc Van Droogenbroeck, and Jacques Verly. The secrets of the Kinect ... in depth!. Presentation at the Conference of Professional Forum (3D Stereo Media), Liège, Belgium, December 2011. [bibtex-entry]

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