An E.cient Template Matching Between Rotated Mono- or Multi- Sensor Images
This paper presents an e.cient template matching which is adapted to both the rotated mono-and multi-sensor images. The proposed method uses the dominant orientation (DO) to estimate the rotation and, use the hill climbing to search the translation. First, to .nd the global optimum, climbers are placed all over the reference image with a constant interval, and each climber is assigned to a unique DO, by which the template rotation can be estimated at each climber. Then a class-adaptive clustering is introduced and all the climbers/DOs are clustered into several classes. In each class the template is rotated only once, so the total rotation operations can be reduced signi.cantly. After the rotation, the hill climbing can be conducted and the global optimum can be achieved by the highest climber. Our method need not any presetting of the parameters, however, it is robust and e.cient, as shown in experiments.
Template Matching Rotation Invariant Multi-sensor images Clustering Hill Climbing
Yuzhuang Yan Xinsheng Huang Yongbin Zheng Wanying Xu
College of Mechatronics Engineering and Automation National University of Defense Technology Changsh College of Mechatronics Engineering and AutomationNational University of Defense TechnologyChangsha
国际会议
桂林
英文
1-9
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）