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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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Submitted on : Wednesday, May 26, 2010 - 3:23:30 PM
Last modification on : Thursday, January 20, 2022 - 5:33:05 PM
Long-term archiving on: : Friday, October 19, 2012 - 3:02:02 PM


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  • HAL Id : inria-00486749, version 1



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. ⟨inria-00486749⟩



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