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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | image registration / local linearity / random projection / subsace method / nearest neighbour search |
Paper # | PRMU2013-82 |
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Committee | PRMU |
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Conference Date | 2013/12/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |
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