Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.gmod.2013.08.002 | Graphical Models |
Keywords | DocType | Volume |
whole-body motion,ground truth motion,ankle trajectory,wrist trajectory,reconstructing whole-body,arm motion,optimal ankle trajectory,various whole-body motion,challenging problem,candidate ankle path,character animation,performance capture | Journal | 75 |
Issue | ISSN | Citations |
6 | 1524-0703 | 4 |
PageRank | References | Authors |
0.46 | 39 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hye-Jin Kim | 1 | 27 | 6.58 |
| Sung-Hee Lee | 2 | 334 | 24.19 |