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Non-rigid object class recognition is a challenging computer vision problem. Using descriptors extracted from local interest regions has important advantages like robustness to occlusion and photometric effects. In this work we compare different local interest region detectors for non-rigid object class recognition through the success-rate of a Generalized Hough Transform based recognition system...
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