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This paper investigates the effectiveness of image description using detectors and keypoint descriptors for image similarity evaluation. SIFT, SURF, ORB, and BRISK methods are compared for detection and matching procedures. Similarity coefficients are computed for each image pair, and corresponding similarity coefficient matrices are constructed for image similarity analysis. An evaluation of the speed of keypoint detection and description for each of the methods was conducted. It was found that SIFT yielded the he SURF method performed better in recognizing similar images compared to BRISK and ORB, but was significantly slower. The research results can be useful in the field of visual search and image identification.
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Fesiuk et al. (2023) studied this question.
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