文章基本信息

标题：Accurate Registration of Point Clouds Based on ADF and ICS
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作者：Zhang Mei ; Xu Bin ; Chen Wang 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：171-180
DOI：10.14257/ijsip.2015.8.12.17
出版社：SERSC
摘要：The registration of point cloud is a key problem for model acquisition and 3D reconstruction, it was Put forward that a kind of automatic registration method from multi-views depth image to complete geometric models. First, According to the invariant characteristics of the relative position of the space points in the condition of rigid body transformation, the effective initial matching points array was construct with curvature invariant features and ZNCC, and the coordinate transformation of the matching feature points was solved based on the Unit quaternion, thus the data coarse registration was completed; Then by using fine matching technology based on adaptive distance function and the improved iterative closest surface, the different perspectives of clouds were optimally matched in 3D space; Finally registration error was calculated according to the matching results, and the registration accuracy and speed were analyzed. The results show that, the method can effectively improve the efficiency of registration in the guarantee of the accuracy of registration.
关键词：Free curved surface; accurate registration; Curvature features; ADF ; (Adaptive distance function); ICS (iterative closest surface)