Performance Evaluation of Binary Descriptors of Local Features
The article is devoted to the evaluation of performance of image features with binary descriptors for the purpose of their utilization in recognition of objects by service robots. In the conducted experiments we used the dataset and followed the methodology proposed by Mikolajczyk and Schmid. The performance analysis takes into account the discriminative power of a combination of keypoint detector and feature descriptor, as well as time consumption.
Keywordsperformance evaluation image features binary descriptors SIFT FAST BRIEF BRISK ORB FREAK
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