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Proceedings Paper

A bidirectional image matching algorithm based on SIFT features
Author(s): Nan Zhang; Lin Luo; Xiaorong Gao; Jinlong Li
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Paper Abstract

Matching accuracy plays a vital role in image matching and image recognition. In order to improve the accuracy and robust of image matching, a bidirectional matching algorithm is proposed to delete false matching relationships, so the matching accuracy can be improved. Based on the unique constraint of unilateral matching, the positive matching results from template image to the image to be matched can be obtained. Then the negative matching results from the original image to be matched to the original template image can also be obtained. Now the final bidirectional matching results can be achieved by the intersection of the positive and negative results. Precision ratio is taken as the evaluation indicator. Through various image transformation scenes, experimental results show that the proposed algorithm has a higher precision ratio on the contrast of unilateral matching algorithm. So the proposed bidirectional matching algorithm can improve the precision ratio and robust of unilateral matching algorithm and improve the matching accuracy of image matching.

Paper Details

Date Published: 25 October 2016
PDF: 7 pages
Proc. SPIE 9686, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices, 968614 (25 October 2016); doi: 10.1117/12.2245696
Show Author Affiliations
Nan Zhang, Southwest Jiaotong Univ. (China)
Lin Luo, Southwest Jiaotong Univ. (China)
Xiaorong Gao, Southwest Jiaotong Univ. (China)
Jinlong Li, Southwest Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 9686:
8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices
Yadong Jiang; Bernard Kippelen; Junsheng Yu, Editor(s)

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