Best-Buddies Similarity—Robust Template Matching Using Mutual Nearest Neighbors

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...

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Bibliographic Details
Main Authors: Oron, Shaul, Dekel, Tali, Xue, Tianfan, Freeman, William T., Avidan, Shai
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
Online Access:https://hdl.handle.net/1721.1/121575

Internet

https://hdl.handle.net/1721.1/121575

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