Research on SIFT Algorithm Base on Complex Environment
Authors
Dan Li, Xiangying Dang
Corresponding Author
Dan Li
Available Online April 2015.
- DOI
- 10.2991/isrme-15.2015.138How to use a DOI?
- Keywords
- traffic; stitching; Curvelet; SIFT
- Abstract
A new algorithm of feature matching was presented by this paper. In the new algorithm, Curvelet first used to denoise, then RANSAC optimized SIFT algorithm used to stitch images. Experiments show that the new algorithm is better to remove error matching points. It improved the accuracy of local invariant feature matching. New algorithm has a good anti-noise and lighting capabilities. It has strong adaptability to scale changes, the algorithm is robust, and has better effect on matching and stitching.
- Copyright
- © 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 - Dan Li AU - Xiangying Dang PY - 2015/04 DA - 2015/04 TI - Research on SIFT Algorithm Base on Complex Environment BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 694 EP - 698 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.138 DO - 10.2991/isrme-15.2015.138 ID - Li2015/04 ER -