Image feature matching method based on improved ORB

Lei Jia; Xu Yang

doi:10.1117/12.2638609

23 May 2022 Image feature matching method based on improved ORB

Lei Jia, Xu Yang

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122541K (2022) https://doi.org/10.1117/12.2638609
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

The feature points extracted by the FAST algorithm in the ORB algorithm are densely distributed, and the repeated appearance of the feature points leads to a long time-consuming process in the matching process. Aiming at this problem, this paper proposes an improved method. First, the image is partitioned, then the feature points obtained by the FAST detection algorithm in the original algorithm are sorted, and the feature points that are ranked first and meet the conditions are selected for binary description, and finally the homography matrix is added after hamming matching to further improve the matching. Accuracy. The experimental results show that the algorithm improves the time-consuming of the original algorithm from 1.4s to 0.7s.

Citation Download Citation

Lei Jia and Xu Yang "Image feature matching method based on improved ORB", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122541K (23 May 2022); https://doi.org/10.1117/12.2638609

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