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Intuitive Interactive Human-Character Posing with Millions of Example Poses
July/August 2011 (vol. 31 no. 4)
pp. 78-88
ASCII Text
x 
 
Xiaolin K. Wei, Jinxiang Chai, "Intuitive Interactive Human-Character Posing with Millions of Example Poses," IEEE Computer Graphics and Applications, vol. 31, no. 4, pp. 78-88, July/August, 2011.
 
 
BibTex
x
 
@article{ 10.1109/MCG.2009.132,
author = {Xiaolin K. Wei and Jinxiang Chai},
title = {Intuitive Interactive Human-Character Posing with Millions of Example Poses},
journal ={IEEE Computer Graphics and Applications},
volume = {31},
number = {4},
issn = {0272-1716},
year = {2011},
pages = {78-88},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCG.2009.132},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Computer Graphics and Applications
TI - Intuitive Interactive Human-Character Posing with Millions of Example Poses
IS - 4
SN - 0272-1716
SP78
EP88
EPD - 78-88
A1 - Xiaolin K. Wei,
A1 - Jinxiang Chai,
PY - 2011
KW - computer graphics
KW - data-driven character posing
KW - inverse kinematics
KW - motion-capture database
KW - nonlinear optimization
KW - statistical models
KW - interactive techniques
KW - graphics and multimedia
VL - 31
JA - IEEE Computer Graphics and Applications
ER -
 
Xiaolin K. Wei, Texas A&M University
Jinxiang Chai, Texas A&M University
The authors present a data-driven algorithm for interactive 3D human-character posing. They formulate the problem in a maximum a posteriori (MAP) framework by combining the user's inputs with the priors embedded in prerecorded human poses. Maximizing the posterior probability lets them generate a most-likely human pose that satisfies the user constraints. The system can learn priors from a huge, heterogeneous human-motion-capture database (2.8 million prerecorded poses) and use them to generate a wide range of natural poses. No previous data-driven character-posing system has demonstrated this capability. In addition, the authors present two intuitive interfaces for interactive human-character posing: direct-manipulation interfaces and sketching interfaces. They show their system's superiority compared to standard inverse-kinematics techniques and alternative data-driven techniques.

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Index Terms:
computer graphics, data-driven character posing, inverse kinematics, motion-capture database, nonlinear optimization, statistical models, interactive techniques, graphics and multimedia
Citation:
Xiaolin K. Wei, Jinxiang Chai, "Intuitive Interactive Human-Character Posing with Millions of Example Poses," IEEE Computer Graphics and Applications, vol. 31, no. 4, pp. 78-88, July-Aug. 2011, doi:10.1109/MCG.2009.132
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