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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| Format: | Conference or Workshop Item |
| Sprog: | English |
| Udgivet: |
2001
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| Online adgang: | http://psasir.upm.edu.my/id/eprint/20831/1/ID%2020831.pdf |
| _version_ | 1825946584912756736 |
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| author | Zakaria, M. Nordin |
| author_facet | Zakaria, M. Nordin |
| author_sort | Zakaria, M. Nordin |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T07:49:27Z |
| format | Conference or Workshop Item |
| id | upm.eprints-20831 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:49:27Z |
| publishDate | 2001 |
| record_format | dspace |
| spelling | 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). Animation (Cinematography) Computer animation Neural networks (Computer science) - Genetic algorithms |
| spellingShingle | Animation (Cinematography) Computer animation Neural networks (Computer science) - Genetic algorithms Zakaria, M. Nordin Evolving character animation |
| title | Evolving character animation |
| title_full | Evolving character animation |
| title_fullStr | Evolving character animation |
| title_full_unstemmed | Evolving character animation |
| title_short | Evolving character animation |
| title_sort | evolving character animation |
| topic | Animation (Cinematography) Computer animation Neural networks (Computer science) - Genetic algorithms |
| url | http://psasir.upm.edu.my/id/eprint/20831/1/ID%2020831.pdf |
| work_keys_str_mv | AT zakariamnordin evolvingcharacteranimation |