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2006 IEEE International Conference on Multimedia and Expo
Photorealistic Attention-Based Gaze Animation
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Laurent Itti, Computer Science and Institute for Creative Technologies, University of Southern California
Nitin Dhavale, Computer Science and Institute for Creative Technologies, University of Southern California
Frederic Pighin, Computer Science and Institute for Creative Technologies, University of Southern California
We apply a neurobiological model of visual attention and gaze control to the automatic animation of a photorealistic virtual human head. The attention model simulates biological visual processing along the occipito-parietal pathway of the primate brain. The gaze control model is derived from motion capture of human subjects, using high-speed video-based eye and head tracking apparatus. Given an arbitrary video clip, the model predicts visual locations most likely to attract an observer's attention, and simulates the dynamics of eye and head movements towards these locations. Tested on 85 video clips including synthetic stimuli, video games, TV news, sports, and outdoor scenes, the model demonstrates a strong ability at saccading towards and tracking salient targets. The resulting autonomous virtual human animation is of photorealistic quality.
Citation:
Laurent Itti, Nitin Dhavale, Frederic Pighin, "Photorealistic Attention-Based Gaze Animation," icme, pp.521-524, 2006 IEEE International Conference on Multimedia and Expo, 2006
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