A Wavelet Approach for Partial Occluded Object Recognition

作     者：Kah Bin Lim Geok Soon Hong 

作者机构：Mechanical Engineering DepartmentNational University of SingaporeSingapone 

出 版 物：《武汉理工大学学报》 (Journal of Wuhan University of Technology)

年 卷 期：2006年第28卷第S1期

页      面：32-39页

学科分类：0810[工学-信息与通信工程] 08[工学] 081002[工学-信号与信息处理] 

主　　题：wavelet partial occlusion object recognition corner detection 

摘      要：A complete 2-D object recognition algorithm applicable for both standalone and partial occluded object is presented. The main contributions in our work are: we developed a scale and partial occlusion invariant boundary partition algorithm and a multiresolution feature extraction algorithm using wavelet. We also implemented a hierarchical matching strategy for feature matching to reduce computational load,but increase matching accuracy. Experiment result shows proposed recognition algorithm is robust to similarity transform and partial occlusion.