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: | |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2001
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| Subjects: | |
| 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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| Summary: | 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. |
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