Name
Abstract | ||
|---|---|---|
Motion blending is a popular motion synthesis technique which in- terpolates similar motion examples according to blending weighs parameterizing high-level characteristics of interest. We present in this paper an optimization framework for determining blending weights able to produce motions precisely satisfying multiple given spatial constraints. Our proposed method is simpler than previous approaches, and yet it can quickly achieve locally optimal solutions without pre-processing of basis functions. The effectiveness of our method is demonstrated in solving two classes of problems: 1) we show the precise con- trol of end-effectors during the execution of diverse upper-body actions, and 2) we also address the problem of synthesizing walking animations with precise feet placements, demonstrating the ability to simultaneously meet multiple constraints and at different frames. Our several experimental results demonstrate that the proposed optimization approach is simple to implement and effectively achieves realistic results with precise motion control. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16958-8_23 | motion in games |
Keywords | Field | DocType |
similar motion example,precise control,blending weight,motion parameterization,inverse blending,character animation,popular motion synthesis technique,optimization framework,multiple constraint,walk synthesis,motion blending,precise feet placement,precise motion control,spa- tial constraints.,satisfiability,motion control | Inverse,Computer vision,Motion control,Parametrization,Computer science,Simulation,Character animation,Artificial intelligence,Basis function,Motion synthesis | Conference |
Volume | ISSN | ISBN |
6459 | 0302-9743 | 3-642-16957-0 |
Citations | PageRank | References |
11 | 0.59 | 21 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yazhou Huang | 1 | 81 | 8.03 |
| Marcelo Kallmann | 2 | 639 | 59.35 |