Share Email Print
cover

Proceedings Paper

An improved RANSAC algorithm using within-class scatter matrix for fast image stitching
Author(s): Lin Zhang; Zhihua Liu; Jianbin Jiao
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An improved RANSAC algorithm using within-class scatter matrix for fast image stitching is proposed in this paper. First, features described by SIFT are extracted. Next, the Min-cost K-flow algorithm is used to match SIFT points in different images. Then, the improved RANSAC algorithm with the within-class scatter matrix is used to divide the matching feature points into two classes: inliers and outliers. Finally, the homography is computed in the set of inliers. Experiment results show that the improved algorithm can increase the registration speed by some 20 percent with the same accuracy and robustness comparing to the original RANSAC algorithm.

Paper Details

Date Published: 3 February 2011
PDF: 10 pages
Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 787017 (3 February 2011); doi: 10.1117/12.876626
Show Author Affiliations
Lin Zhang, Graduate Univ. of the Chinese Academy of Sciences (China)
Zhihua Liu, Graduate Univ. of the Chinese Academy of Sciences (China)
Jianbin Jiao, Graduate Univ. of the Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 7870:
Image Processing: Algorithms and Systems IX
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

© SPIE. Terms of Use
Back to Top