David B. Cooper
Principal Investigations: Image Processing/Computer Vision
Professor Cooper's research presently focuses on two main topics: the developement of new geometric, algebraic and probabilistic models for indoor and outdoor scenes, and the developement of a Bayesian estimation and decision theoretic framework for image segmentation, 3-D object recognition, and 3-D object location and orientation estimation. This framework permits practical parallel Bayesian recognition and estimation algorithms for large complex pattern recognition and artificial intelligence problems. Many of these algorithms can be organized for simple VLSI chip implementation.
Professor Cooper teaches:
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Professor Cooper is a Principal Investigator in the SHAPE Lab., a multidisciplinary project supported by Brown and the NSF, involving the Divisions of Engineering and Applied Mathematics, and the Departments of Old World Art and Archaeology, and Visual Arts, and the Media Research Lab. at New York University.
Last modified: Dec. 12, 2002.