Study on an Improved Robust Algorithm for Feature Point Matching

摘要：

Image matching is one of the keystones of computer vision. Feature point matching is the most common one among all kinds of image matching. Its matching result is affected greatly by many factors, such as object occlusions, lighting conditions and noises. In this paper, it uses a combined corner detection algorithm to detect corners, and equably selects parts of feature point in the first image to implement pre-matching, and based on the matching result to find the correspondences points of the other detected points. Experiments show that the results of the algorithm in the paper had high right matching rate and it has less computation demand.

关键词： feature point matching pre-mathing matching intensity

作者: Guo Yongfang Yu Ming Sun Yicai

作者单位: Hebei University of Technology Tianjin, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 76-79

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）