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Conference Papers Year : 2010

Transitive Closure based visual words for point matching in video sequence

Srikrishna Bhat
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  • IdRef : 168821818
Gilles Simon

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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Dates and versions

inria-00486749 , version 1 (26-05-2010)

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  • HAL Id : inria-00486749 , version 1

Cite

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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