Abstract: We present a data-driven method for the real-time synthesis of believable steering behaviours for virtual crowds. The proposed method interlinks the input examples into a structure we call the perception-action graph (PAG) which can be used at run-time to efficiently synthesize believable virtual crowds. A virtual character's state is encoded using a temporal representation, the Temporal Perception Pattern (TPP). The graph nodes store groups of similar TPPs whereas edges connecting the nodes store actions (trajectories) that were partially resp...
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Topics: 
Theoretical computer science