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VERSION:2.0
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SUMMARY:Computational Single Photon Imaging
DTSTART:20180223T141500
DTSTAMP:20260428T074733Z
UID:35d1bea418e74fcbc1d92cb3ae8daeb5f56e3566f4c24398ef35d71c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Gordon Wetzstein\, Stanford University\nBio: Gordon Wetz
 stein is an Assistant Professor of Electrical Engineering and\, by court
 esy\, of Computer Science at Stanford University. He is the leader of t
 heStanford Computational Imaging Lab\, an interdisciplinary research group
  focused on advancing imaging\, microscopy\, and display systems. At the i
 ntersection of computer graphics\, machine vision\, optics\, scientific co
 mputing\, and perception\, Prof. Wetzstein's research has a wide range of 
 applications in next-generation consumer electronics\, scientific imaging\
 , human-computer interaction\, remote sensing\, and many other areas. Prio
 r to joining Stanford in 2014\, Prof. Wetzstein was a Research Scientist i
 n the Camera Culture Group at the MIT Media Lab. He received a Ph.D. in
  Computer Science from the University of British Columbia in 2011 and gr
 aduated with Honors from the Bauhaus in Weimar\, Germany before that. His 
 doctoral dissertation focuses on computational light modulation for image 
 acquisition and display and won the Alain Fournier Ph.D. Dissertation Ann
 ual Award. He organized the IEEE 2012 and 2013 International Workshops 
 on Computational Cameras and Displays as well as the 2017 Int. Conference
  on Computational Photography\, founded displayblocks.org as a forum for
  sharing computational display design instructions with the DIY community\
 , and presented a number of courses on Computational Displays and Compu
 tational Photography at ACM SIGGRAPH. Gordon is the recipient of an NSF C
 AREER award\, he won best paper awards at the International Conference on 
 Computational Photography (ICCP) in 2011 and 2014 as well as a Laval V
 irtual Award in 2005. \nTime-of-flight imaging and LIDAR systems enable 3
 D scene acquisition at long range using active illumination. This is usefu
 l for autonomous driving\, robotic vision\, human-computer interaction and
  many other applications. The technological requirements on these imaging 
 systems are extreme: individual photon events need to be recorded and time
 -stamped at a picosecond timescale\, which is facilitated by emerging sing
 le-photon detectors. In this talk\, we discuss a new class of computationa
 l cameras based on single-photon detectors. These enable efficient ways fo
 r non-line-of-sight imaging (i.e.\, looking around corners) and efficient 
 depth sensing as well as other unprecedented imaging modalities. 
LOCATION:INM202 https://plan.epfl.ch/?room=INM202
STATUS:CONFIRMED
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