Feature points tracking: robustness to specular highlights and lighting changes

Authors:
Michèle Gouiffès;Christophe Collewet;Christine Fernandez-Maloigne;Alain Trémeau
Affiliations:
SIC, University of Poitiers, Futuroscope, France;IRISA/INRIA Rennes, Rennes, France;SIC, University of Poitiers, Futuroscope, France;LIGIV, University Jean Monnet, Saint Etienne, France
Venue:
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Year:
2006

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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.