• 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