A Method for Range Image Registration via Neural Network and ICP Algorithm

作     者：LI Qingguang,GAO Cen,WU Xianfeng,LI Dehua Institute for Pattern Recognition and Artificial Intelligence,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China 

作者机构：Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei China 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2010年第15卷第5期

页      面：398-402页

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 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 (69775022) 

主　　题：registration range image neural network iterative closest point 

摘      要：In this paper,a new integrated registration algorithm based on neural network and ICP（iterative closest point） algorithm is presented.A coarse registration process is implemented with neural network,and then further optimized by ICP *** corresponding point pairs are found according to the target points＇ curvature and color *** distance,which reflects the scattering degree of point data,is employed to define the closest distance and the closest *** results of the experiment show that our algorithm has better feasibility,validity and efficiency than the traditional ICP method.