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How to Cheat and Get Away With It:
What Computer Graphics Can Learn from Perceptual Psychology

Visual perception and visual representation are intricately related, with research in each of these areas benefiting from and potentially facilitating research in the other. This panel provided a forum for wider exchange of information and ideas between researchers in psychology, who are using computer graphics to facilitate their investigations into the fundamental processes of visual perception, and researchers in computer graphics, who are using insights from psychology to guide the development of algorithms and approaches for more effective visual representation.
Victoria Interrante
Daniel Kersten

University of Minnesota
David Brainard
University of California, Santa Barbara
Heinrich Buelthoff
Max Planck Institute for Biological Cybernetics
Daniel Kersten
University of Minnesota
James A. Ferwerda
Cornell University
Pawan Sinha
University of Wisconsin

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