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• W2294981001 abstract "Crowd simulation has been an important research field due to its diverse range of applications that include film production, military simulation, and urban planning. A challenging problem is to provide simple yet effective control over captured and simulated crowds to synthesize intended group motions. We present a new method that blends existing crowd data to generate a new crowd animation. The new animation can include an arbitrary number of agents, extends for an arbitrary duration, and yields a natural-looking mixture of the input crowd data. The main benefit of this approach is to create new spatio-temporal crowd behavior in an intuitive and predictable manner. It is accomplished by introducing a morphable crowd model that allows us to encode the formations and individual trajectories in crowd data. Then, its original spatio-temporal behavior can be reconstructed and interpolated at an arbitrary scale using our morphable model." @default.
• W2294981001 created "2016-06-24" @default.
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• W2294981001 date "2010-01-01" @default.
• W2294981001 modified "2023-10-03" @default.
• W2294981001 title "Morphable crowds" @default.
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• W2294981001 doi "https://doi.org/10.1145/1866158.1866162" @default.
• W2294981001 hasPublicationYear "2010" @default.
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