Presentation 2013-12-13
Explicit Local Linear Method for 2D Affine Image Registration
Hayato Itoh, Atsushi IMIYA, Tomoya SAKAI,
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Abstract(in English) We introduce a local linear method using local linear property of affine transformed images for global image registration. In global image registration, by generating many transformed images as entries in a dictionary from a reference image, nearest-neighbour-search-based image registration computes the transformation that establishes the best match among the generated transformations. Assuming perturbation of a template is small, we can explicitly represent parameters which generate the transformation with a template and pre-generated transformed image. Using this local linear property, we can accurately estimate parameters with a small number of dictionary images.
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Keyword(in English) image registration / local linearity / random projection / subsace method / nearest neighbour search
Paper # PRMU2013-82
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Conference Information
Committee PRMU
Conference Date 2013/12/5(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Explicit Local Linear Method for 2D Affine Image Registration
Sub Title (in English)
Keyword(1) image registration
Keyword(2) local linearity
Keyword(3) random projection
Keyword(4) subsace method
Keyword(5) nearest neighbour search
1st Author's Name Hayato Itoh
1st Author's Affiliation Graduate School of Advanced Integration Science, Chiba University()
2nd Author's Name Atsushi IMIYA
2nd Author's Affiliation Institute of Management and Information Technologies, Chiba University
3rd Author's Name Tomoya SAKAI
3rd Author's Affiliation Graduate School of Engineering, Nagasaki University
Date 2013-12-13
Paper # PRMU2013-82
Volume (vol) vol.113
Number (no) 346
Page pp.pp.-
#Pages 6
Date of Issue