%0 Journal Article
%T Automatic multi-view point cloud merging algorithm used in structure light measure system<br>结构光测量系统中多视点云自动拼合算法
%A CHE Xiang-qian
%A ZHAO Can
%A MENG Xiang-lin
%A CHENG Jun-ting
%A WANG Guo-quanSchool of Computer
%A Information Engineering
%A Heilongjiang University of Science
%A Technology
%A Harbin Heilongjiang
%A China
%A School of Mechanical Engineering
%A <br>车向前
%A 赵灿
%A 孟祥林
%A 程俊延
%A 王国权
%J 计算机应用
%D 2008
%I 
%X An automatic multi-view point cloud merging algorithm for structure light measure system was presented. Firstly, an improved region identification integrated with least-squares algorithm was used to compute the center of the reference point accurately, and the 3D coordinate of the reference point was ascertained through the theory of machine vision. Then, based on the invariability of spatial character, a rapid reference point matching algorithm was put forward to acquire the corresponding relationship between the reference points with different visual angles. Lastly, the rotation matrix and translation matrix were computed by quaternion decompose algorithm to carry out the automatic multi-view point cloud merging algorithm. The result of the experiments shows the validity and great practicability of the algorithm.
%K structure light measure
%K reference point
%K multi-view point cloud
%K quaternion
%K automatic merging<br>结构光测量
%K 参考点
%K 多视点云
%K 四元数法
%K 自动拼合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=B63853EEACF078AF8321AC1312D7FE52&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=B7C6D333F9B9ED14&eid=CA590345B99F3387&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8