Fast Keypoint Recognition and Recent Work at CVLab

  • Vincent Lepetit | Swiss Federal Institute of Technology

I will first present our approach to real-timekeypoint recognition based on a Naïve Bayesian classification framework, and its applications to robust 3D object detection and tracking. I will also discuss a recent extension to the estimation of the keypoint perspective orientations, suitable for detecting low-textured objects.

Then, I will quickly present more recent developments at CVLab, in particular deformable surfaces registration in closed-form, dense local descriptors for wide baseline reconstruction, and accurate monocular 3D tracking using specular reflections.

Speaker Details

Vincent Lepetit received the engineering and master degrees in Computer Science from the ESIAL in 1996. He received the PhD degree in Computer Vision in 2001 from the University of Nancy, France, after working in the ISA INRIA team. He then joined the Virtual Reality Lab at EPFL (Swiss Federal Institute of Technology) as a post-doctoral fellow and became a founding member of the Computer Vision Laboratory.He has received several awards in Computer Vision including the best paper award at CVPR 2005. His research interests include vision-based Augmented Reality, 3D camera tracking, object recognition and 3D reconstruction.

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