Reconstructing whole-body motions with wrist trajectories

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Reconstructing whole-body motions using only a low-dimensional input reduces the cost of and efforts for performance capture significantly, and yet remains a challenging problem. We introduce a novel technique that synthesizes whole-body motion using the two wrist trajectories. Given the wrist trajectories, we first determine the optimal ankle trajectories from a large number of candidate ankle paths obtained from example poses in the motion database. The optimal trajectory is efficiently achieved by solving for the shortest path problem in a directed acyclic graph. Next, we use both the wrist and ankle trajectories as the low-dimensional control signals to achieve the whole-body pose at each time step. We show that our method can reconstruct various whole-body motions that can be recognized by arm motions, such as walking, stepping, and in-place upper-body motions. Comparisons with ground truth motions and with other methods are provided. (C) 2013 Elsevier Inc. All rights reserved.
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Issue Date
2013
Language
English
Article Type
Article
Keywords

INTERPOLATION; ANIMATION

Citation

GRAPHICAL MODELS, v.75, pp.328 - 345

ISSN
1524-0703
DOI
10.1016/j.gmod.2013.08.002
URI
http://hdl.handle.net/10203/187059
Appears in Collection
GCT-Journal Papers(저널논문)
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