A New Image Matching Algorithm Based on Scale Adapted Interest Point Detection
In this paper, we study the problem of extracting interest points from images and the interest points can be used to perform reliable matching between different scenes. The image matching focuses on two key points: interest point detection and feature matching. However, due to the disadvantage brought by image scale, rotation and view change, the ability of feature matching falls off signally. This paper proposes a new image matching algorithm, which has good performances on image scale, rotation and view change. First, we bring forward a novel interest point detector called scale adapted Harris detector by selecting interest points at different levels of scales. Then we formulate the feature matching based on the Earth Movers Distance (EMD). At the same time, we implement our proposed algorithm in a benchmark dataset. The experimental results demonstrate the proposed algorithm perform better than other methods in both recall and precision.
Image matching Harris detector Earth Mover’s Distance Interest point detection
Peng Liang Shaofa Li Cheng Wang
Department of Computer Science and Engineering South China University of Technology Guangdong 510006,China
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
330-335
2009-06-22（万方平台首次上网日期，不代表论文的发表时间）