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D. H. Ballard and C. M. Brown
ABSTRACT
Vision theories can be categorized in terms of the amount of explicit representation postulated in the perceiver. Gibson's precomputational theory eschewed any explicit representation. In contrast, Marr used layers of explicit representation, hoping to simplify vision computations. Current technological advances in robotic hardware and computer architectures have allowed the building of anthropomorphic devices that capture important technical features of human vision. Experience with these devices suggests that cooperative sensorimotor behaviors can reduce the need for explicit representation. This view is captured in the notion of 'animate vision', which is a framework for sequential decision-making, gaze control, and visual learning. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Principles of Animate VisionSite generated on Friday, 06 January 2006