Evolving character animation

This paper describes an approach to the animation of articulated figure using a combination of forward kinematics, neural net and genetic algorithms. A set of kinematics motion data for an articulated model is evolved to generate a set of varied motion that performs according to an objective functio...

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Main Author: Zakaria, M. Nordin
Format: Conference or Workshop Item
Language:English
Published: 2001
Online Access:http://psasir.upm.edu.my/id/eprint/20831/1/ID%2020831.pdf
http://psasir.upm.edu.my/id/eprint/20831/
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spelling my.upm.eprints.208312016-07-21T09:07:56Z http://psasir.upm.edu.my/id/eprint/20831/ Evolving character animation Zakaria, M. Nordin This paper describes an approach to the animation of articulated figure using a combination of forward kinematics, neural net and genetic algorithms. A set of kinematics motion data for an articulated model is evolved to generate a set of varied motion that performs according to an objective function set by the user. Neural net is used to constrain the generated motions. User interaction with the process ensures a certain style evolve from the myriad of possibilities. Our technique makes it possible to create libraries of reusable motions from a small number of example motions. 2001 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/20831/1/ID%2020831.pdf Zakaria, M. Nordin (2001) Evolving character animation. In: Persidangan Kebangsaan Penyelidikan & Pembangunan IPTA 2001, 25-26 Okt. 2001, Universiti Kebangsaan Malaysia, Bangi, Selangor. (pp. 860-863).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper describes an approach to the animation of articulated figure using a combination of forward kinematics, neural net and genetic algorithms. A set of kinematics motion data for an articulated model is evolved to generate a set of varied motion that performs according to an objective function set by the user. Neural net is used to constrain the generated motions. User interaction with the process ensures a certain style evolve from the myriad of possibilities. Our technique makes it possible to create libraries of reusable motions from a small number of example motions.
format Conference or Workshop Item
author Zakaria, M. Nordin
spellingShingle Zakaria, M. Nordin
Evolving character animation
author_facet Zakaria, M. Nordin
author_sort Zakaria, M. Nordin
title Evolving character animation
title_short Evolving character animation
title_full Evolving character animation
title_fullStr Evolving character animation
title_full_unstemmed Evolving character animation
title_sort evolving character animation
publishDate 2001
url http://psasir.upm.edu.my/id/eprint/20831/1/ID%2020831.pdf
http://psasir.upm.edu.my/id/eprint/20831/
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score 13.160551