Conventional cameras record all light falling onto their sensor regardless of its source or its 3D path to the camera. In this talk I will present a emerging family of coded-exposure video cameras that can be programmed to record just a fraction of the light coming from an artificial source---be it a common street lamp or a programmable projector---based on the light path's geometry or timing. Live video from these cameras offers a very unconventional view of our everyday world in which refraction and scattering can be notice with the naked eye can become apparent, and the flicker of electric lights can be turned into a powerful cue for analyzing the electrical grid from room to city.
I will discuss the unique optical properties and power efficiency of these "transport aware cameras" through three case studies: the ACam for analyzing the electrical grid, EpiScan3D for robust progress toward designing a computational CMOS sensor for coded two-bucket imaging---a novel capability that promises much more flexible and powerful transport-aware cameras compared to existing off-the-shelf solutions.
Kyros Kutulakos is a Professor of Computer Science at the University of Toronto. He received his PhD degree from the University of Wisconsin-Madison in 1994 and his BS degree from the University of Crete in 1988, both in Computer Science. In addition to the University of Toronto, he has held appointments at the University of Rochester (1995-2001) and Microsoft Research Asia (2004-05 and 2011-12). He is the recipient of an Alfred P. Sloan Fellowship, an Ontario Premier's Research Excellence Award, a Marr Prize in 1999, a Marr Prize Honorable Mention in 2005, and four other paper awards (CVPR 1994, ECCV 2006, CVPR 2014, CVPR 2017). He also served as ProgramCo-Chair of CVPR 2003, ICCP 2010 and ICCV 2013.