Presentation 2005-06-03
Model Parameter Estimation for Deformable Objects from Incremental Observation
Tomohiro YABUUCHI, Koh KAKUSHO, Michihiko MINOH,
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Abstract(in English) This paper discusses modeling real deformable objects for creating a virtual object that reproduces the shapes observed from the reaction of real deformable object under manipulation. For this purpose, models with many parameters are introduced in order to produce the shapes of real deformable objects. Those models can produce realistic shapes of deformable objects when optimal values are set for their parameters. We aim at estimating these optimal values of model parameters by observing the shapes of real deformable object under manipulation. Although the values of model parameters estimated by this approach depend on the variety of observed shapes, it is unrealistic to assume that all the observed shapes necessary for estimating model parameters are given in advance. In this paper, we propose a method of estimating model parameters using Real Coded Genetic Algorithm from the shapes of real object by incremental observation. String-like objects and clothes are considered as examples of the deformable objects. Experimental results show that the model with optimal values of its parameters estimated from our method by incremental observation can reproduce the shapes which did not appear for the estimation process.
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Paper # MVE2005-11
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Conference Information
Committee MVE
Conference Date 2005/5/27(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Model Parameter Estimation for Deformable Objects from Incremental Observation
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1st Author's Name Tomohiro YABUUCHI
1st Author's Affiliation Graduate School of Informatics Kyoto University()
2nd Author's Name Koh KAKUSHO
2nd Author's Affiliation Academic Center for Computing and Media Studies Kyoto University
3rd Author's Name Michihiko MINOH
3rd Author's Affiliation Academic Center for Computing and Media Studies Kyoto University
Date 2005-06-03
Paper # MVE2005-11
Volume (vol) vol.105
Number (no) 106
Page pp.pp.-
#Pages 8
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