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Least-squares fitting of multiple M-dimensional point sets
Wen, GJ; Wang, ZQ; Xia, SH; Zhu, DM
2006-06-01
发表期刊VISUAL COMPUTER
ISSN0178-2789
卷号22期号:6页码:387-398
摘要Based on the classic absolute orientation technique, a new method for least-squares fitting of multiple point sets in m-dimensional space is proposed, analyzed and extended to a weighted form in this paper. This method generates a fixed point set from k corresponding original m-dimensional point sets and minimizes the mean squared error between the fixed point set and these k point sets under the similarity transformation. Experiments and interesting applications are presented to show its efficiency and accuracy.
关键词absolute orientation least-squares fitting singular value decomposition motion capture
DOI10.1007/s00371-006-0022-6
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Software Engineering
WOS记录号WOS:000238278500003
出版者SPRINGER
引用统计
被引频次:17[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/10490
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wen, GJ
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China
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GB/T 7714
Wen, GJ,Wang, ZQ,Xia, SH,et al. Least-squares fitting of multiple M-dimensional point sets[J]. VISUAL COMPUTER,2006,22(6):387-398.
APA Wen, GJ,Wang, ZQ,Xia, SH,&Zhu, DM.(2006).Least-squares fitting of multiple M-dimensional point sets.VISUAL COMPUTER,22(6),387-398.
MLA Wen, GJ,et al."Least-squares fitting of multiple M-dimensional point sets".VISUAL COMPUTER 22.6(2006):387-398.
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