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Exploitation de contraintes photométriques et géométriques en vision. Application au suivi, au calibrage et à la reconstruction.

Jamil Drareni 1, 2
1 PERCEPTION [2007-2015] - Interpretation and Modelling of Images and Videos [2007-2015]
Inria Grenoble - Rhône-Alpes, LJK [2007-2015] - Laboratoire Jean Kuntzmann [2007-2015], Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
Abstract : The topic of this thesis revolves around three fundamental problems in computer vision; namely, video tracking, camera calibration and shape recovery. The proposed methods are solely based on photometric and geometric constraints found in the images. Video tracking, usually performed on a video sequence, consists in tracking a region of interest, selected manually by an operator. We extend a successful tracking method by adding the ability to estimate the orientation of the tracked object. Furthermore, we consider another fundamental problem in computer vision: calibration. Here we tackle the problem of calibrating linear cameras (a.k.a: pushbroom)and video projectors. For the former one we propose a convenient plane-based calibration algorithm and for the latter, a calibration algorithm that does not require aphysical grid and a planar auto-calibration algorithm. Finally, we pointed our third research direction toward shape reconstruction using coplanar shadows. This technique is known to suffer from a bas-relief ambiguity if no extra information on the scene or light source is provided. We propose a simple method to reduce this ambiguity from four to a single parameter. We achieve this by taking into account the visibility of the light spots in the camera.
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Contributor : Team Perception <>
Submitted on : Monday, May 16, 2011 - 1:16:31 PM
Last modification on : Thursday, July 23, 2020 - 10:02:02 AM
Long-term archiving on: : Wednesday, August 17, 2011 - 2:37:21 AM


  • HAL Id : tel-00593514, version 1



Jamil Drareni. Exploitation de contraintes photométriques et géométriques en vision. Application au suivi, au calibrage et à la reconstruction.. Interface homme-machine [cs.HC]. Université de Montréal; Institut National Polytechnique de Grenoble - INPG, 2010. Français. ⟨tel-00593514⟩



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