Best-Buddies Similarity—Robust Template Matching Using Mutual Nearest Neighbors
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 s...
Main Authors: | Oron, Shaul, Dekel, Tali, Xue, Tianfan, Freeman, William T., Avidan, Shai |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2019
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Online Access: | https://hdl.handle.net/1721.1/121575 |
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