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 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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Conference Information
Committee PRMU
Conference Date 2001/7/11(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
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) 202
Page pp.pp.-
#Pages 6
Date of Issue