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ITR/IM:
Biologically Inspired Computation for Perception
IIS-0114036
Principal Investigator
Bir Bhanu, Center for Research in Intelligent Systems Bourns
B232, University of California at Riverside, Riverside, CA 92521,
Tel. 951-827-3954, Fax. 951-827-3188
bhanu@cris.ucr.edu
http://www.vislab.ucr.edu/PEOPLE/BIR_BHANU/index.htm
Co-PI
Michael Erickson, Department of Psychology, University of
California at Riverside, Tel. 909-787-3298, Fax. 909-787-3985
michael.erickson@ucr.edu
http://ecogsci.ucr.edu/erickson/
Engineering and Cognitive Psychology Combine to Develop Models
Electrical Engineering and Cooperative Computer Science Professor Bir Bhanu (l.) is teaming with Assistant Professor of Cognitive Psychology Michael Erickson (r.) to study how babies' brains develop, with the goal of creating computers that can see and perceive like humans.
Their method incorporates the biological constraints that guide the development of natural perceptual systems (identified by neuroscientists) into the design of computational perceptual systems for object detection and recognition. Bhanu is the Director of the Center for Research in Intelligent Systems (CRIS) where similar object detection and recognition studies are performed.
Human perception evolves in a controlled fashion. Babies are born with blurred vision, and typically develop color, motion and 3D perception and the ability to focus during their first eight months. Computers are bombarded with complete and unfiltered information, but Bhanu and Erickson are developing constraints in the amount of information made available to a computer, attempting to replicate the development of human perception.
Infants' perceptual systems may have evolved to filter out all but the key information needed for recognition. Bhanu and Erickson are testing this hypothesis by determining whether models of such biological constraints can be used to improve recognition in artificial perceptual systems.
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