Feature point tracking : Robustness to specular highlights and lighting variations

M. Gouiffès 1 Christophe Collewet 2 Christine Fernandez-Maloigne 3 A. Trémeau 4
1 UR TERE - Technologie des équipements agroalimentaires
2 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
3 SIC - SIGNAL-IMAGE-COMMUNICATION
4 LIGIV - Laboratoire d'Informatique Graphique et d'Ingénierie de la Vision
Abstract : Since the precise modeling of reflection is a difficult task, most feature points trackers assume that objects are lambertian and that no lighting change occurs. To some extent, a few approaches answer these issues by computing an affine photometric model or by achieving a photometric normalization. Through a study based on specular reflection models, we explain explicitly the assumptions on which these techniques are based. Then we propose a tracker that compensates for specular highlights and lighting variations more efficiently when small windows of interest are considered. Experimental results on image sequences prove the robustness and the accuracy of this technique in comparison with the existing trackers. Moreover, the computation time of the tracking is not significantly increased.
Type de document :
Communication dans un congrès
European Conf. on Computer Vision, ECCV'2006, 2006, Graz, Austria, France. 3954, pp.92-93, 2006
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https://hal.inria.fr/inria-00350326
Contributeur : Eric Marchand <>
Soumis le : mardi 6 janvier 2009 - 14:21:43
Dernière modification le : jeudi 15 novembre 2018 - 11:57:06
Document(s) archivé(s) le : jeudi 11 octobre 2012 - 15:22:34

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M. Gouiffès, Christophe Collewet, Christine Fernandez-Maloigne, A. Trémeau. Feature point tracking : Robustness to specular highlights and lighting variations. European Conf. on Computer Vision, ECCV'2006, 2006, Graz, Austria, France. 3954, pp.92-93, 2006. 〈inria-00350326〉

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