High Speed Image Matching Method Using Coarse to Fine Search Based on Uniform Performance of Rotation Matching
Osamu NASU, Daisuke SHIMBO, Junji SUKENO, Manabu Hashimoto · Journal of the Japan Society for Precision Engineering · 2022
This paper introduces a fast image matching method using coarse to fine search. For reliable and high-speed matching, it is important to decide on optimal interval on coarse search. In the proposed method, efficient search is realized by making the coarse search interval non-uniform in order to make the performance of rotation matching uniform. Through experiments using 4 types×121 test images, it was confirmed that the proposed method can achieve a speedup of up to 60% compared to the conventional method.