Image Registration Using SIFT and Canonical Correlation Analysis
- https://doi.org/10.2991/meita-15.2015.25How to use a DOI?
- Image registration, Feature matching, SIFT, Mismatches removal, RANSAC
To improve the quality of SIFT feature matching, a mismatches removal method is proposed based on the collinearity property of the canonical correlation features. The influence of each match on the collineartiy degree is analyzed to find false matches. Firstly, a putative set of matches is obtained based on distances between SIFT feature descriptors. Secondly, the spatial relationship of matched points is encoded by canonical correlation analysis. The match with the largest effect on the collinearity degree is iteratively eliminated. Experimental results show the proposed method can reserve a high rate of correct matches determined by a threshold. Compared with several other mismatches removal methods, it provides comparable or better results.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wei Zhao AU - Zheng Tian AU - Lijuan Yang AU - Weidong Yan AU - Jinhuan Wen PY - 2015/08 DA - 2015/08 TI - Image Registration Using SIFT and Canonical Correlation Analysis BT - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications PB - Atlantis Press SP - 118 EP - 122 SN - 2352-5401 UR - https://doi.org/10.2991/meita-15.2015.25 DO - https://doi.org/10.2991/meita-15.2015.25 ID - Zhao2015/08 ER -