NDLI: Total least squares fitting of point sets in m-D

Content Provider	IEEE Xplore Digital Library
Author	Gaojin Wen Dengming Zhu Shihong Xia Zhaoqi Wang
Copyright Year	2005
Description	Author affiliation: Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China (Gaojin Wen; Dengming Zhu; Shihong Xia; Zhaoqi Wang)
Abstract	The absolute orientation technique, minimizing the mean squared error between two matched point sets under similarity transformations, has numerously applied in the areas of photogrammetry, robotics, object motion analysis as well as object pose estimation following recognition. Based on it, in this paper, a total least squares fitting algorithm, which generates a fixed point set from k corresponding original point sets and minimizes the mean squared error between the fixed point sets and these k point sets, is proposed and proved. Experiments and interesting applications are also presented to show its efficiency, accuracy and robustness.
Sponsorship	IEEE Comput. Soc. Visualization and Graphics Tech. Comm.
Starting Page	82
Ending Page	86
File Size	700413
Page Count	5
File Format	PDF
ISBN	0780393309
ISSN	15301052
DOI	10.1109/CGI.2005.1500379
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least squares methods Content addressable storage Computer errors Computer vision Iterative algorithms Matrix decomposition Application software Pattern recognition Singular value decomposition Motion estimation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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