RECOGNIZING PARTIALLY OCCLUDED OBJECTS BY RIGID BODY RELAXATION MATCHING

作     者：LEE, T LI, R KONG, SH 

作者机构：Department of Electronic Engineering Chinese University of Hong Kong Shatin Hong Kong 

出 版 物：《ELECTRONICS LETTERS》 (Electron. Lett.)

年 卷 期：1990年第26卷第13期

页      面：856-858页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：probabilistic relaxation computer simulated data set computer vision computerised pattern recognition recognising partially occluded objects feature extraction range data Pattern recognition Optical information, image and video signal processing rigid-body model rigid body relaxation matching embedded spatial constraints computerised picture processing Computer vision and image processing techniques 3D objects Communications computing range images 

摘      要：By representing 3D objects by a rigid-body model (RBM), application of probabilistic relaxation to satisfy the embedded spatial constraints in the RBMs for recognising partially occluded objects using range data was investigated. A computer simulated data set was used to illustrate the effectiveness of the proposed procedure.