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• W3183609296 abstract "Abstract Crowd animation is a topic of high interest which offers many challenges. One of the most important is the trade‐off between rich, realistic behaviors, and computational costs. To this end, much effort has been put into creating variety in character representation and animation. Nevertheless, one aspect still lacking realism in virtual crowd characters resides in their attention behaviors. In this paper, we propose a framework to add gaze attention behaviors to crowd animations. First, we automatically extract interest points from character or object trajectories in pre‐ existing animations. For a given character, we assign a set of elementary scores based on parameters such as distance or speed to all other characters or objects in the scene. We then combine these subscores in an overall scoring function. The scores obtained from this function form a set of gaze constraints that determine where and when each character should look. We finally enforce these constraints with an optimized dedicated gaze Inverse Kinematics (IK) solver. It first computes the displacement maps for the constraints to be satisfied. It then smoothly propagates these displacements over an automatically defined number of frames. We demonstrate the efficiency of our method and our visually convincing results through various examples. Copyright © 2009 John Wiley & Sons, Ltd." @default.
• W3183609296 created "2021-08-02" @default.
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• W3183609296 date "2009-05-13" @default.
• W3183609296 modified "2023-10-14" @default.
• W3183609296 title "Simulating gaze attention behaviors for crowds" @default.
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• W3183609296 doi "https://doi.org/10.1002/cav.293" @default.
• W3183609296 hasPublicationYear "2009" @default.
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