CISE Talk: November 22, 2019 – David Lindell, PhD Candidate, Stanford University

8 St. Mary’s St., PHO 203
3:00pm-4:00pm

David Lindell
PhD Candidate 
Stanford University

Computational Imaging with Single-Photon Detectors

Active 3D imaging systems, such as LIDAR, are becoming increasingly prevalent for applications in autonomous vehicle navigation, remote sensing, human-computer interaction, and more. These imaging systems capture distance by directly measuring the time it takes for short pulses of light to travel to a point and return. With emerging sensor technology, we can detect down to single arriving photons and identify their arrival at picosecond timescales, enabling new and exciting imaging modalities. In this talk, I discuss trillion-frame-per-second imaging, efficient depth imaging with sparse photon detections, and imaging objects hidden from direct line of sight.

David Lindell is a 4th year PhD candidate in the Electrical Engineering Department at Stanford University advised by Gordon Wetzstein. His recent work focuses on developing computational algorithms for non-line-of-sight imaging, single-photon imaging, and 3D imaging with sensor fusion. He received his bachelor’s and master’s degrees in 2015 and 2016 from Brigham Young University where he worked on remote sensing algorithms for satellite-based radar.

Faculty Host: Vivek Goyal
Student Host: Athar Roshandelpoor