One Two Levels Matching Algorithm Based on Point Features and Affine Model

摘要：

The paper proposed a two-level image matching algorithm including the coarse and accurate matches. The coarse match is based on the feature points and rule of correlation coefficient consistency. The accurate match uses the random sampling consistency algorithm (RANSAC) and the affine transformation model. Experiment results show that the algorithm is more robust and accurate.

关键词： RANSAC affine transformation model image matching

作者: Zhao Xian Wang Feng

作者单位: Institute of Geomatic and Urban Spatial Information,Beijing University of Civil Engineeringand Architecture,Beijing,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 22-26

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）