DocumentCode
321238
Title
Singular values and least squares matching
Author
Brockett, R.W.
Author_Institution
Harvard Univ., USA
Volume
2
fYear
1997
fDate
10-12 Dec 1997
Firstpage
1121
Abstract
In this paper we investigate least squares matching problems, extending the methods of our earlier paper (1989) in such a way as to make them applicable to problems involving sets of points that are so large that approximate answers are of interest. These problems are formulated in terms of continuous descent equations, and lower bounds on the quality of the best match are obtained in terms of the singular values of certain matrices determined directly by the data
Keywords
image matching; least squares approximations; singular value decomposition; best match quality; continuous descent equations; image matching; least squares matching; lower bounds; matrices; singular values; Computer vision; Equations; Genetic mutations; Laboratories; Least squares methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.657597
Filename
657597
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