Least-squares fitting of multiple M-dimensional point sets |
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Authors: | Gaojin Wen Zhaoqi Wang Shihong Xia Dengming Zhu |
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Affiliation: | (1) Institute of Computing Technology, Chinese Academy of Sciences, 100080 Beijing, China;(2) Graduate school of the Chinese Academy of Sciences, 100080 Beijing, China |
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Abstract: | 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. |
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Keywords: | Absolute orientation Least-squares fitting Singular value decomposition Motion capture |
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