DocumentCode :
2020221
Title :
A physically-based algorithm for motion mapping
Author :
Chen, Zhihua ; Ma, Lizhuang ; Gao, Yan ; Wu, Xiaomao ; Li, Zhong
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
fYear :
2005
fDate :
6-8 July 2005
Firstpage :
559
Lastpage :
564
Abstract :
A new approach is proposed to motion editing based on motion capture data, i.e., motion mapping. The key to our framework is the spacetime optimization method based on physical model. For reducing the complexity of optimization problem, we map the captured motion to a new character by using a simplified model. This model is a transformation tool and determined automatically by using the motion analysis technique. The motion mapping process includes three sub problems of motion retargeting. In order to further speed up the procedure for finding the numerical solutions, we describe an efficient method to find an appropriate initial solution for the optimization process. Results show that physically realistic animation can be created with our mapping algorithm.
Keywords :
computational complexity; computer animation; image motion analysis; optimisation; motion capture data; motion editing; motion mapping; motion retargeting; optimization complexity; physically-based algorithm; spacetime optimization; transformation tool; Animation; Computer science; Constraint optimization; Convergence; Data engineering; Databases; Humans; Manuals; Motion analysis; Optimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation, 2005. Proceedings. Ninth International Conference on
ISSN :
1550-6037
Print_ISBN :
0-7695-2397-8
Type :
conf
DOI :
10.1109/IV.2005.13
Filename :
1509130
Link To Document :
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