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Improved keypoint descriptors based on Delaunay triangulation for image matching

Authors :
Zaixing He
Shuyou Zhang
Xinyue Zhao
Source :
Optik. 125:3121-3123
Publication Year :
2014
Publisher :
Elsevier BV, 2014.

Abstract

In the current keypoint-based image matching methods, not all the keypoints can be reliably matched because of the influence of noise, illumination, and image distortion. In the paper, we propose a novel method based on the Delaunay triangulation to detect and remove possible mismatches. Given previously matched keypoints by a detector in two images, the proposed method utilizes four steps to remove the mismatched point pairs: first, triangulating keypoints in the reference image, and producing a graph consisting of edges that connects the keypoints; second, drawing a graph in the test image by connecting the corresponding points as same as in the reference image; third, detecting abnormal edges in the test image using special constraints; fourth, detecting and removing mismatched point pairs based on the abnormal edges. The experimental results show that the method can detect the mismatches accurately and improve the robustness of current matching algorithms.

Details

ISSN :
00304026
Volume :
125
Database :
OpenAIRE
Journal :
Optik
Accession number :
edsair.doi...........8be265f3c4f871a7d98dacf765c04ab2
Full Text :
https://doi.org/10.1016/j.ijleo.2013.12.022