Mise en correspondance A Contrario de points d'intérêt sous contraintes géométrique et photométrique

Nicolas Noury 1
1 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The analysis of structure from motion allows one to estimate the shape of 3D objects and the position of the camera from pictures or videos. It usually follows these three steps: 1) Extracting points of interest, 2) Matching points of interest using photometric descriptors computed on point neighborhoods, 3) Filtering previous matches so as to retain only those compatible with a geometric constraint, whose parameters can then be computed. However, for the second step, the photometric criterion is not enough on its own when several points are alike. As for the third step, it uses the Ransac robust filtering scheme, which requires setting thresholds, and that can be a difficult task. This work is based on Moisan and Stival's A Contrario Ransac approach, which allows one to set thresholds automatically. After assessing that method, the first contribution was the elaboration an a contrario model, which simultaneously achieves robust filtering and matching through both geometric and photometric criteria. That method allows one to match scenes with repeated patterns, which is impossible with the usual approach. The second contribution extended that result to strong viewpoint changes, improving the ASift method. The matches obtained are both more numerous and more densely distributed, in scenes containing many repeated patterns seen from very different angles.
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Nicolas Noury. Mise en correspondance A Contrario de points d'intérêt sous contraintes géométrique et photométrique. Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Henri Poincaré - Nancy I, 2011. Français. ⟨NNT : 2011NAN10069⟩. ⟨tel-01746212v2⟩

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