Open AccessOverview of Image Matching Based on ORB Algorithm
Author(s) -
Chuan Luo,
Wei Yang,
Panling Huang,
Jun Zhou
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/3/032020
Subject(s) - orb (optics) , image stitching , computer science , matching (statistics) , artificial intelligence , image (mathematics) , blossom algorithm , feature (linguistics) , computer vision , feature detection (computer vision) , field (mathematics) , algorithm , image processing , image matching , pattern recognition (psychology) , mathematics , linguistics , statistics , philosophy , pure mathematics
ORB image matching is of great significance in the field of image processing, which is mainly used in navigation, target recognition and classification, image stitching and remote sensing registration. Based on the existing literature on ORB algorithm research, this paper first introduces the classic ORB algorithm. Then, the various improved algorithms of ORB are expounded, and the performance index of image matching algorithm based on feature points is introduced. Finally, the shortcomings of the ORB algorithm are pointed out and the development direction of the algorithm is prospected.