Benchmarking of Feature Detectors and Matchers using OpenCV-Python Wrapper

This paper proposes a comparative analysis of AKAZE, BRISK, KAZE, ORB, and SIFT features detecting algorithms in combination with BF and FLANN feature matching algorithms. The comparative evaluation was implemented using the OpenCV-Python wrapper. In the first phase, for each pair of algorithms, we...

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Bibliographic Details

Published in:	2021 International Conference on Information Technology and Nanotechnology (ITNT) pp. 1 - 6
Main Authors:	Golovnin, Oleg, Rybnikov, Dmitry
Format:	Conference Proceeding
Language:	English
Published:	IEEE 20.09.2021
Subjects:	computer vision descriptor Detectors Feature detection Feature extraction Image resolution local detector Measurement uncertainty OpenCV Structure from motion Task analysis
Online Access:	Get full text
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