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Keypoint induced distance profiles for visual recognition
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
We show that histograms of keypoint descriptor distances can make useful features for visual recognition. Descriptor distances are often exhaustively computed between sets of keypoints, but besides finding the k-smallest distances the structure of the distribution of these distances has been largely overlooked. We highlight the potential of such information in the task of particular scene recognition. Discriminative scene signatures in the form of histograms of keypoint descriptor distances are
doi:10.1109/cvprw.2009.5206734
fatcat:l7tqku25onfg5f76mbqh7xq3bm