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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.
 
Organizers
Victoria Interrante
Daniel Kersten

University of Minnesota
 
Panelists
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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