Presentation | 2001/7/11 Improvement of a Search Algorithm using a Genetic Algorithm and Simulated Annealing for the Correspondence Problem Kenji Suzuki, Miki Haseyama, Hideo Kitajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The authors have proposed a method which determines the correspondence of the same object in two different images by using a genetic algorithm and simulated annealing. In the case where the algorithm has no knowledge about the scale of the object, the previous method needed to search many times. Due to an improvement in the search algorithm the proposed method can find the optimum solution with a single search. This paper also verifies the validity of the proposed method by several experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | genetic algorithm / simulated annealing / feature point / correspondence problem / elastic model |
Paper # | IE2001-35,PRMU2001-55,MVE2001-34 |
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Committee | MVE |
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Conference Date | 2001/7/11(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 | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improvement of a Search Algorithm using a Genetic Algorithm and Simulated Annealing for the Correspondence Problem |
Sub Title (in English) | |
Keyword(1) | genetic algorithm |
Keyword(2) | simulated annealing |
Keyword(3) | feature point |
Keyword(4) | correspondence problem |
Keyword(5) | elastic model |
1st Author's Name | Kenji Suzuki |
1st Author's Affiliation | School of Engineering, Hokkaido University() |
2nd Author's Name | Miki Haseyama |
2nd Author's Affiliation | School of Engineering, Hokkaido University |
3rd Author's Name | Hideo Kitajima |
3rd Author's Affiliation | School of Engineering, Hokkaido University |
Date | 2001/7/11 |
Paper # | IE2001-35,PRMU2001-55,MVE2001-34 |
Volume (vol) | vol.101 |
Number (no) | 204 |
Page | pp.pp.- |
#Pages | 6 |
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