Application of Improved ORB Algorithm in Image Matching

doi:10.3969/j.issn.1006-2475.2019.02.00

Abstract

Abstract: In the field of computer vision, image matching is a core issue. In order to improve the accuracy of image feature matching and enhance its anti-interference ability, in view of the insufficiency of ORB (oriented FAST and rotated BRIEF), an improved method based on ORB is proposed. This algorithm sets self-adaptive threshold in the process of detecting feature points. Furthermore, the outer points which do not conform to the geometric characteristics of images are removed after the coarse matching, then the affine invariant constraint is chosen to pick out the exact matching points. The experimental results show that the proposed method has greatly improved the matching quality and has low computing cost. In addition, the proposed method has strong robustness for different blur and exposure degrees.

Key words: ORB, self-adaptive, geometric characteristics, affine invariant constraint

CLC Number:

TP391.4

FAN Xin-nan, GU Ya-fei, NI Jian-jun. Application of Improved ORB Algorithm in Image Matching[J]. Computer and Modernization, 2019, 0(02): 1-.

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