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20 October 2023 Improved AKAZE feature matching algorithm based on grid motion statistics
Hexin Wang, Xiu Ji, Chaoyue Lang, Jinglong Yang
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Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 1291623 (2023) https://doi.org/10.1117/12.3004799
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China
Abstract
Aiming at the problem that AKAZE algorithm has slow feature extraction speed and low accuracy in the feature matching process, this paper proposes to improve AKAZE's feature matching algorithm based on grid statistical motion. Firstly, in the feature extraction stage, the proposed algorithm uses the oFAST algorithm instead of constructing scale space to extract feature points. Then, the M-LDB descriptor is used for feature point description. Finally, the BF algorithm is used to perform coarse matching of features, and the grid motion statistics (GMS) algorithm is added to achieve the purification of matching point pairs and complete the matching. The performance of the proposed algorithm was compared with the AKAZE and ORB algorithms in the experimental fields and grayscale graph groups. The results show that the improved algorithm not only improves the matching speed, which is more than 2 times faster than the AKAZE algorithm, but also maintains a high matching accuracy, which is similar to the AKAZE algorithm.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Hexin Wang, Xiu Ji, Chaoyue Lang, and Jinglong Yang "Improved AKAZE feature matching algorithm based on grid motion statistics", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 1291623 (20 October 2023); https://doi.org/10.1117/12.3004799
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KEYWORDS
Detection and tracking algorithms
Feature extraction
Algorithm testing
Error analysis
Image registration
Light sources and illumination
Target recognition
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