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CGA
2011

Intuitive Interactive Human-Character Posing with Millions of Example Poses

11 years 3 months ago
Intuitive Interactive Human-Character Posing with Millions of Example Poses
We present a data-driven algorithm for interactive 3D human character posing. We 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 posteriori allows us to generate a most likely human pose that satisfies the user constraints. One unique property of our system is its ability to learn priors from a huge and heterogeneous human motion capture database (2.8 million prerecorded poses) and use them to generate a wide range of natural poses, a capacity that has not been demonstrated in previous data-driven character posing systems. In addition, we present two intuitive interfaces for interactive human character posing: direct manipulation interfaces and sketching interfaces. We show the superiority of our system by comparing it with standard inverse kinematics techniques as well as to alternative data-driven techniques.
Xiaolin K. Wei, Jinxiang Chai
Added 25 Aug 2011
Updated 25 Aug 2011
Type Journal
Year 2011
Where CGA
Authors Xiaolin K. Wei, Jinxiang Chai
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