OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching

Local feature matching is an essential component in many visual applications. In this work, we propose OAMatcher, a detector-free method that imitates humans behavior to realize accurate and dense local feature matching.

Data and Resources

Cite this as

Kun Dai, Tao Xie, Ke Wang, Zhiqiang Jiang, Ruifeng Li, Lijun Zhao (2024). Dataset: OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching. https://doi.org/10.57702/zavf8owl

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Kun Dai
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Tao Xie
Ke Wang
Zhiqiang Jiang
Ruifeng Li
Lijun Zhao
Homepage https://github.com/DK-HU/OAMatcher