The human visual system may be the most complex pattern recognition device known. In ways yet to be fully understood, the visual brain arrives at interpretations of the retinal image data that are useful for the decisions and actions of everyday life. Exactly how the brain translates retinal image intensities to useful actions is a tough problem requiring multiple approaches. A major theoretical challenge is to discover the computational principles required to estimate world properties and determine motor output from image features. Computational vision searches for these solutions. The empirical challenge is to discover how our visual systems and those of other animals are built. Psychophysics, neurophysiology and brain imaging provide empirical tools to investigate how the visual pathways of the brain transform image information into action.
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Mail address:
Computational Vision Lab
N218 Elliott Hall
75 East River Road
Minneapolis, MN
55455
Contact Dan
Kersten (Phone:
612 625 2589) for more information about the lab (kersten@umn.edu).
Dan Kersten's calendar.
For information on graduate programs and support see: Center for Magnetic Resonance Imaging,
Computational Neuroscience Program
The Cognitive Sciences Center, Neuroscience, Computer
Science Department, Scientific Computation.
Kersten Lab | Vision Lab | Psychology Department | University of Minnesota
© 1998, 2004, 2005, 2007, 2008 Computational Vision Lab, University of Minnesota,
Department of Psychology.