Computer vision

Computer vision

Keywords: shape estimation, point clouds.

Abstract: computer vision field is mainly motivated by linear or quasi-linear approaches of image processing, for example for shape estimation from image sequences. But it also need to introduce original point cloud or mesh processing to extract geometric properties.

Main activity

I was a permanent member of the ALCoV team, ISIT, Université d'Auvergne. ALCoV's scientific project was bringing new tools for surgical gesture training and decision making using computer vision and augmented reality. I am interested methods to enrich the per-operative tools (computer-vision based approaches), by integrating data from pre-operative images.

Collaborations

I was during two months (July-September 2009): visitor at Department of Computer Science, Queen Mary, University of London, joining the Lourdes Agapito's team. We worked on distortion shape estimation from point clouds describing a manifold.

Publications

  • P. Schroeder, R. Roux, J.-M. Favreau, A. Bartoli Industrial Phase-Shifting Profilometry in Motion. In 18th Scandinavian Conference on Image Analysis, SCIA 2013. Springer. (2013). bibtex
  • J.-M. Favreau, J. Fayad, L. Agapito Distortion estimation for point clouds and application to motion analysis. In 3DPVT'10 Intl Symp. on 3D Data Processing, Visualization and Transmission. Paris, France (05/2010). bibtex