Conditional Stochastic Simulation for Character Animation

Abstract : In a context of interactive applications, adapting motion capture data to new situations or producing variants of them are known as non trivial tasks. We propose an original method that produces motions that preserve the statistical properties of a reference motion while ensuring some constraints. This method uses principles of conditional stochastic simulation to achieve this goal. Notably, a new real time algorithm, performing sequentially and producing the desired motion is introduced. Possible applications of our method are numerous and several examples are given, along with results.
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Computer Animation and Virtual Worlds (best selected papers from CASA 2010), 2010, pp.1--10
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Nicolas Courty, Anne Cuzol. Conditional Stochastic Simulation for Character Animation. Computer Animation and Virtual Worlds (best selected papers from CASA 2010), 2010, pp.1--10. 〈hal-00493340〉

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