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- W2060576843 abstract "Crowd activities are often randomized to create the appearance of heterogeneity. However, the parameters that control randomization are frequently hard to tune because it is unclear how changes at the character level affect the high-level appearance of the crowd. We propose a method for computing randomization parameters that supports direct animator control. Given details about the environment, available activities, timing information and the desired high-level appearance of the crowd, we model the problem as a graph, formulate a convex optimization problem, and solve for a set of stochastic transition rates which satisfy the constraints. Unlike the use of heuristics for adding randomness to crowd activities, our approach provides guarantees on convergence to the desired result, allows for decentralized simulation, and supports a variety of constraints. In addition, because the rates can be pre-computed, no additional runtime processing is needed during simulation." @default.
- W2060576843 created "2016-06-24" @default.
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- W2060576843 date "2014-03-14" @default.
- W2060576843 modified "2023-10-07" @default.
- W2060576843 title "Stochastic activity authoring with direct user control" @default.
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- W2060576843 doi "https://doi.org/10.1145/2556700.2556714" @default.
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