Motion data correction and extrapolation using physical constraints

This data was imported from DBLP:

Authors: Xiao, Z., Yang, X. and Zhang, J.J.

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10086

Journal: IV

Pages: 571-576

Publisher: IEEE Computer Society

DOI: 10.1109/IV.2005.83

This source preferred by Zhidong Xiao and Jian Jun Zhang

This data was imported from Scopus:

Authors: Xiao, Z., Yang, X. and Zhang, J.J.

Journal: Proceedings of the International Conference on Information Visualisation

Volume: 2005

Pages: 571-576

ISSN: 1093-9547

DOI: 10.1109/IV.2005.83

Optimization techniques have proven to be a powerful approach for generating new motions. In this paper, we present a physically based optimization method to synthesize motions by using motion capture data as input. We assume that the captured motion data is physically plausible. We start by defining and estimating the physical properties of human characters. The procedure of motion synthesis is from coarse to fine according to the objective function and physical constraints. Our motion synthesis is like a motion editing method, which is appropriate for motion correction and extrapolation. By this means, we can correct and eliminate unrealistic motion data. © 2005 IEEE.

This data was imported from Web of Science (Lite):

Authors: Xiao, Z.D., Yang, X.S. and Zhang, J.J.

Journal: NINTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS

Pages: 571-576

The data on this page was last updated at 05:26 on October 22, 2020.