Paper Info
Title
A physically-based algorithm for motion mapping
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.
Year
DOI
Venue
2005
10.1109/IV.2005.13
IV
Keywords
Field
DocType
optimisation,motion editing,optimization process,computer animation,transformation tool,motion mapping,physically-based algorithm,motion mapping process,motion capture data,mapping algorithm,physical model,optimization problem,computational complexity,motion analysis technique,spacetime optimization,motion retargeting,optimization complexity,image motion analysis,databases,convergence,computer science,animation,constraint optimization,data engineering
Motion capture,Computer vision,Computer science,Algorithm,Retargeting,Animation,Artificial intelligence,Motion estimation,Motion analysis,Computer animation,Optimization problem,Computational complexity theory
Conference
ISSN
ISBN
Citations 
1550-6037
0-7695-2397-8
0
PageRank 
References 
Authors
0.34
11
5
Name
Order
Citations
PageRank
Zhihua Chen1234.18
Lizhuang Ma2498100.70
Yan Gao321.11
Xiaomao Wu4525.05
Zhong Li500.34