Presentation | 1996/6/21 Organizing the Map Between Two Images by the Diffusion Equations Toru AONISHI, Koji KURATA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Pattern recognition invariant against distortion and shift can be performed with the dynamic link architectures. The quality of a match between two images is assessed through an elastic cost function. According to the definition of the cost function, this model is not invariant against rotation and expansion. We extended the dynamic link architectures to a continuous model based on a local linear map which is expressed by partial differential equations. Our model produce a topographic mapping between two images by an interaction between two systems, the global map and the local linear map. Therefore our model is very flexible against distortion and rotation compared with the dynamic link architectures. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | dynamic link / topographic mapping / local linear map / cost function / constraint |
Paper # | NC96-16 |
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Committee | NC |
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Conference Date | 1996/6/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Organizing the Map Between Two Images by the Diffusion Equations |
Sub Title (in English) | |
Keyword(1) | dynamic link |
Keyword(2) | topographic mapping |
Keyword(3) | local linear map |
Keyword(4) | cost function |
Keyword(5) | constraint |
1st Author's Name | Toru AONISHI |
1st Author's Affiliation | Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University() |
2nd Author's Name | Koji KURATA |
2nd Author's Affiliation | Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University |
Date | 1996/6/21 |
Paper # | NC96-16 |
Volume (vol) | vol.96 |
Number (no) | 117 |
Page | pp.pp.- |
#Pages | 8 |
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