Transitive Closure based visual words for point matching in video sequence

Srikrishna Bhat 1 Marie-Odile Berger 1 Gilles Simon 1 Frédéric Sur 1
1 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We present Transitive Closure based visual word formation technique for obtaining robust object representations from smoothly varying multiple views. Each one of our visual words is represented by a set of feature vectors which is obtained by performing transitive closure operation on SIFT features. We also present range-reducing tree structure to speed up the transitive closure operation. The robustness of our visual word representation is demonstrated for Structure from Motion (SfM) and location identification in video images.
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Communication dans un congrès
20th International Conference on Pattern Recognition - ICPR 2010, Aug 2010, Istanbul, Turkey. 2010
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Srikrishna Bhat, Marie-Odile Berger, Gilles Simon, Frédéric Sur. Transitive Closure based visual words for point matching in video sequence. 20th International Conference on Pattern Recognition - ICPR 2010, Aug 2010, Istanbul, Turkey. 2010. 〈inria-00486749〉

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