I conduct research and development in computer vision and machine learning to enhance how we observe and understand sports.My main work focuses on camera modelling and calibration, pose estimation, physical simulation, and 3D reconstruction.https://www.geniussports.com/genius-iq/https://www.secondspectrum.com/index.html

Developing exciting open sources softwares and algorithms in Computer Vision (multi-view geometry, 3D reconstruction, Bundle Adjustment, SLAM, Deep learning and related fields)⇨ I designed and implemented a State-Of-the-Art Lidar-based open-source SLAM algorithm:https://github.com/Kitware/VeloViewhttps://blog.kitware.com/veloview-lidar-slam-capabilities/⇨ Main developer of VeloView, an open source software for Lidar visualization and point cloud… Show more Developing exciting open sources softwares and algorithms in Computer Vision (multi-view geometry, 3D reconstruction, Bundle Adjustment, SLAM, Deep learning and related fields)⇨ I designed and implemented a State-Of-the-Art Lidar-based open-source SLAM algorithm:https://github.com/Kitware/VeloViewhttps://blog.kitware.com/veloview-lidar-slam-capabilities/⇨ Main developer of VeloView, an open source software for Lidar visualization and point cloud processinghttps://github.com/Kitware/VeloViewhttps://www.paraview.org/Wiki/VeloView⇨ Many others application in Computer Vision and Deep-Learninghttps://blog.kitware.com/detect-locate-and-seize-with-veloview-actemium-and-kitware-demonstrate-the-industrial-capabilities-of-pattern-recognition-in-lidar-point-clouds/ Show less

The Logarithmic Image Processing (LIP) model provides a physical and mathematical framework for image processing. The aim of this master thesis project was to develop this model in two directions : - Creation of metrics based on the LIP model to provide a measure space structure to the image set- Creation of image operators to provide a normed vector space structure to the image setWith these new definitions, we developed several algorithms to perform:- Pattern Recognition… Show more The Logarithmic Image Processing (LIP) model provides a physical and mathematical framework for image processing. The aim of this master thesis project was to develop this model in two directions : - Creation of metrics based on the LIP model to provide a measure space structure to the image set- Creation of image operators to provide a normed vector space structure to the image setWith these new definitions, we developed several algorithms to perform:- Pattern Recognition in images using new metrics- Illumination Variation Stabilisation- Linear Filters and Non-Linear filters using new operators (low and high frequencies) Show less