Computer Vision
Description
Problems in vision reside at the interface of the physical world, computational machines, and the human brain. Our computational models of the physical world are, by necessity, incomplete, which means that when we observe or act upon the world we do so with inaccurate, uncertain, and ambiguous information.
Research on vision at Brown focuses on this problem of forming and testing hypotheses about a world of which we are uncertain, often from data that are inaccurate, noisy, or inconsistent. Our research includes video motion analysis, tracking, event recognition, object inference and understanding, human motion understanding, and applications of vision in computer graphics. Our work spans many disciplines and involves collaborations with researchers in Engineering, Neuroscience, Cognitive and Linguistic Sciences, Mathematics, Applied Mathematics, and Biomechanics. Our facilities include a Vicon motion-capture system and high-speed multi-camera video capture equipment.
Faculty
| Michael J. Black |
| John F. Hughes |
| Chad Jenkins |
Topics or Projects
| Page Owner: Michael Black | Last Modified: Wed Jun 27 12:26:37 2007 |