Presentation | 1996/2/3 Reduction of Computational Cost in Object Recognition using GRBF Network Mitsuhiro SEKITO, Kunikazu KOBAYASHl, Toyoshi TORlOKA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is reported that GRBF networks can recognize 3D flexible objects from their 2D view. The network recognizes 3D flexible wire-frame objects by approximating the mapping from an arbitrary view to the standard view by learning. The former recognition method is using the feature point matching based on characteristic function and geometric condition. Therefore, it needs lots of computational cost. In this paper, we propose a new recognition method which uses a sorting without the matching. Our method can remarkably reduce computational cost and apply to 3D objects with occluded parts in their 2D view. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | GRBF / 3D object recognition / sorting / backpropergation |
Paper # | NC95-101 |
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Committee | NC |
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Conference Date | 1996/2/3(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) | Reduction of Computational Cost in Object Recognition using GRBF Network |
Sub Title (in English) | |
Keyword(1) | GRBF |
Keyword(2) | 3D object recognition |
Keyword(3) | sorting |
Keyword(4) | backpropergation |
1st Author's Name | Mitsuhiro SEKITO |
1st Author's Affiliation | Fac. of Engineering, Yamaguchi University() |
2nd Author's Name | Kunikazu KOBAYASHl |
2nd Author's Affiliation | Fac. of Engineering, Yamaguchi University |
3rd Author's Name | Toyoshi TORlOKA |
3rd Author's Affiliation | Fac. of Engineering, Yamaguchi University |
Date | 1996/2/3 |
Paper # | NC95-101 |
Volume (vol) | vol.95 |
Number (no) | 506 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |