Brown University

Graduate Studies:
Computational Vision

We usually admit applincants who are interested in the related fields of computer vision, image processing, medical imaging, pattern recognition, and who have a good background in relevant mathematics, computer science, and engineering. The admission process is highly competitive, and applicants are encouraged to contact individual faculty whose research falls in the area of interest.

Brown is one of the world's strongest center for computational and human vision with faculty in several departments:

Applied Mathmatics: David Mumford, Stuart Geman, Basilis Gidas, Donald McClure, Ellie Bienenstock, Ulf Grenander, and associated faculty, Donald Geman
Computer Science: David Laidlaw
Engineering: David Cooper, Benjamin Kimia, William Wolovic
Cognitive Science: William Warren, Michael Tarr
Physics: Leon Cooper, Associated Faculty, Nathan Intrator
Neuroscience: Michael Paradiso, Mark Bear

Brown is located in a medium size city, Providence less than an hour south of Boston and three hours north of New York city. Providence is a charming city that has gone through a recent renaissance.


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