Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors

IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1799-1813, 2017.

Cited by: 43|Views51
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Abstract:

We propose a novel method for template matching in unconstrained environments. Its essence is the Best-Buddies Similarity (BBS), a useful, robust, and parameter-free similarity measure between two sets of points. BBS is based on counting the number of Best-Buddies Pairs (BBPs)-pairs of points in source and target sets that are mutual near...More

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