A Coarse-to-Fine Method for Shape Recognition

作     者：汤慧旋 危辉 

作者机构：Department of Computer Science Fudan University Shanghai 200433 China Shanghai Laboratory of Intelligent Information Processing Fudan University Shanghai 200433 China 

出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)

年 卷 期：2007年第22卷第2期

页      面：329-333页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 080203[工学-机械设计及理论] 0835[工学-软件工程] 0802[工学-机械工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the National Natural Science Foundation of China under Grant No.60303007 and the National Grand Fundamental Research 973 Program of China under Grant No. 2001CB309401 

主　　题：feature representation object recognition shape 

摘      要：In this paper the deformation invariant curve matching problem is addressed. The proposed approach exploits an image pyramid to constrain correspondence search at a finer level with those at a coarser level. In comparison to previous methods, this approach conveys much richer information： curve topology, affine geometry and local intensity are combined together to seek correspondences. In experiments, the method is tested in two applications, contour matching and shape recognition, and the results show that the approach is effective under perspective and articulated deformations.