Presentation 2001/7/11
Image Registration based on Two-dimensional Orthogonal Expansion by Marginal Eigenvectors
Hiroshi Shimono, Shun'ichi Kaneko, Satroru Igarashi,
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Abstract(in English) There has been proposed the image compression method based on two-dimensional orthogonal expansion by use of marginal eigenvectors of the covariance matrix of an image. A method for image registration based on the two-dimensional orthogonal expansion by marginal eigenvectors for a set of training images. The method is very efficient by use of the vectors with smaller dimensions rather than the number of pixels. In this paper, we realize a rotation-invariant registration method based on the method, and then verify the effectiveness of the proposed method through fundamental experiments with real images. Furthermore, two algorithms for fast computation are proposed. Experiments for verification of effectiveness are planned.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) image registration / marginal eigenvecter / orthogonal expansion / rotation invariant
Paper # IE2001-20,PRMU2001-40,MVE2001-19
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Committee MVE
Conference Date 2001/7/11(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Registration based on Two-dimensional Orthogonal Expansion by Marginal Eigenvectors
Sub Title (in English)
Keyword(1) image registration
Keyword(2) marginal eigenvecter
Keyword(3) orthogonal expansion
Keyword(4) rotation invariant
1st Author's Name Hiroshi Shimono
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Shun'ichi Kaneko
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Satroru Igarashi
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2001/7/11
Paper # IE2001-20,PRMU2001-40,MVE2001-19
Volume (vol) vol.101
Number (no) 204
Page pp.pp.-
#Pages 5
Date of Issue