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A Feature Matching Method Based on Multi-Level Refinement Strategy
Feb. 22, 2024, 5:45 a.m. | Shaojie Zhang, Yinghui Wang, Jiaxing Ma, Jinlong Yang, Tao Yan, Liangyi Huang, Mingfeng Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: Feature matching is a fundamental and crucial process in visual SLAM, and precision has always been a challenging issue in feature matching. In this paper, based on a multi-level fine matching strategy, we propose a new feature matching method called KTGP-ORB. This method utilizes the similarity of local appearance in the Hamming space generated by feature descriptors to establish initial correspondences. It combines the constraint of local image motion smoothness, uses the GMS algorithm to …
abstract arxiv cs.cv feature issue orb paper precision process slam strategy type visual visual slam
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