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Colloquium - Nayar

Unconventional Vision Sensors
Department of Computer Science, Columbia University

What can be perceived by a human or computed by a machine from an image is fundamentally restricted by the captured data. Current imaging systems are severely limited in spatial resolution, field of view, and dynamic range. In this talk, we present new vision sensors that provide unconventional forms of visual information. The first part of the talk focuses on the use of catadioptrics (lenses and mirrors) for capturing unusually large fields of view. We describe several methods for obtaining single viewpoint and multi-viewpoint images. The second part of the talk addresses the problem of acquiring high dynamic range images using a low dynamic range detector. We present two approaches for extracting the desired extra bits at each pixel; the first one uses multiple images while the second uses just a single image. Several interactive demonstrations of our results will be shown. These results have implications for digital photography, immersive imaging, image based rendering, 3D scene modeling, and advanced interfaces.

Shree K. Nayar is a Professor in the Department of Computer Science at Columbia University. He received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University in 1990. He currently heads the Columbia Automated Vision Environment (CAVE), which is dedicated to the development of advanced computer vision systems. His research is focused on three areas, namely, the creation of novel vision sensors, the design of physics based models for vision, and the development of algorithms for scene understanding. His work is motivated by applications in the fields of digital imaging, computer graphics, human-machine interfaces, robotics, and image understanding. He has received the David Marr Price twice (1990 and 1995), the David and Lucile Packard Fellowship (1992), the National Young Investigator Award (1993) and the Keck Foundation Award for Excellence in Teaching (1995).

Hosted by Elizabeth Bradley.
Refreshments will be served immediately following the talk in ECOT 831.

Department of Computer Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
May 5, 2012 (14:13)