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GRASP Seminar: Srinivasa Narasimhan, Carnegie Mellon University, “Illuminating Cameras”

January 16, 2009 @ 11:00 am - 12:00 pm

Abstract: Light sources and cameras are optical duals: sources emit light rays while the cameras capture them. This talk will argue that light sources can serve as better cameras in many applications, advancing the state of the art in computer vision. By moving a light source instead of a camera, we show how to reconstruct highly intricate shapes like wreaths, corals and tree branches from hundreds of ‘views’. Second, we leverage the ‘illumination dithering’ in the micromirror array of DLP projectors to speedup virtually any active vision algorithm, resulting in high-speed 3D reconstruction, photometric stereo, appearance capture and high frequency preserving motion blur. We finally show how to efficiently illuminate a volume, enabling cameras to capture high contrast images in poor visibility environments like murky water and fog.


Srinivasa Narasimhan is an Assistant Professor in the Robotics Institute at Carnegie Mellon University. He received his Masters and Doctoral degrees in Computer Science with distinction from Columbia University in 2000 and 2004 respectively. His research interests are in light transport modeling and computational illumination and imaging for applications in vision, graphics and robotics. His work on vision in bad weather received a Best Paper Honorable mention award in IEEE CVPR 2000 and his work on medical endoscopy received the Adobe Best Paper award in 2007 IEEE Workshop on Photometric Analysis in Computer Vision. He received the NSF CAREER award in 2007.


January 16, 2009
11:00 am - 12:00 pm
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