Harnessing the Geometry of Light Transport for Imaging and 3D Shape Acquisition
Kyros Kutulakos (University of Toronto)
COMPUTER VISION AND ROBOTICS SERIESDATE: 2013-12-09
TIME: 15:00:00 - 16:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
When we snap a photo with a conventional camera, we record all incident light no matter how it got there. In this talk I will discuss a new family of cameras that gives us many more degrees of freedom: these cameras record just a fraction of the light coming from a controllable source, based on the actual 3D path followed. Photos and live video captured this way offer an unconventional view of everyday scenes in which the effects of scattering, refraction and other phenomena can be selectively blocked or enhanced, visual structures that are too subtle to notice with the naked eye can become apparent, and object appearance can depend on depth. I will discuss the basic theory behind these cameras and focus on three applications: (1) live imaging of complex everyday scenes, (2) reconstructing the 3D shape of scenes whose geometry or material properties make them hard or impossible to scan with conventional methods, and (3) acquiring high-resolution depth and texture maps from a single frame of video of a dynamic scene.
BIO:
Kyros Kutulakos is a Professor of Computer Science at the University of Toronto. He received a B.S. degree from the University of Crete in 1988 and a Ph.D. from the University of Wisconsin-Madison in 1994, both in Computer Science. Following his dissertation, he held postdoctoral and faculty appointments at the University of Rochester before joining the University of Toronto in 2001. Professor Kutulakos is a recipient of Alfred P. Sloan Fellowship, Ontario Premier's Research Excellence Award, and four best paper prizes (a Best Paper Honorable Mention at the 2006 European Conference on Computer Vision, a Marr Prize Honorable Mention in ICCV 2005, a Marr Prize in ICCV 1999, and a Best Student Paper Award at the Computer Vision and Pattern Recognition Conference CVPR in 1994). He was Program Co-Chair of the Computer Vision and Pattern Recognition Conference in 2003, the Second International Conference on Computational Photography in 2010, and the 2013 International Conference on Computer Vision.
