Presentation | 1995/7/27 To Follow Drifting Images By Dynamic Link Architecture Using Local Linear Mapping Takeshi Mito, Koji Kurata, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Von der Malsburg has proposed dynamic link architecture, in which self-organizing map is applied to image recognition by matching data to sample. This method is expected to be tolerant to distotion or rotation of data images. In practice, his group demonstrated face recognition as an application of dynamic link. However the model used in the simulation, which is capable of identification of translated images with original images, can not class rotated images with it. Because images rotated or translated are congruent with original images, we need a model able to regard rotated images as same images. So we propose a new model in which rotated images are also classed with original images and show some results of computer simulation to follow drifting images with black and white level. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | dynamic link / topographic mapping / local linear mapping / matching data to sample / image recognition |
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Committee | NC |
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Conference Date | 1995/7/27(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | To Follow Drifting Images By Dynamic Link Architecture Using Local Linear Mapping |
Sub Title (in English) | |
Keyword(1) | dynamic link |
Keyword(2) | topographic mapping |
Keyword(3) | local linear mapping |
Keyword(4) | matching data to sample |
Keyword(5) | image recognition |
1st Author's Name | Takeshi Mito |
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 | 1995/7/27 |
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Volume (vol) | vol.95 |
Number (no) | 189 |
Page | pp.pp.- |
#Pages | 8 |
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