Scene Matching based on Directional Keylines and Polar Transform
Scene matching under complex background is a priority and difficulty in the field of computer vision, commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes, the image distortion exist, such as light, change of gray levels, perspective, scaling and other differences, which cause matching difficult. This paper aims to find a scene matching algorithm; it has the characteristics of rotation and scaling invariance, anti-light and anti-slight-distortion, applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation, and utilize the rotation-scale-invariance vectors to describe the extracted keylines, this method includes three steps: keylines extraction, description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background.
scene matching keylines extraction and matching, scale and rotation invariant
Zhang Ye Qu Hongsong Wang Yanjie
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences,Changchun China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
857-860
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）