SPS Webinar: 14 December 2022, Recent Advances in Non-line-of-sight Imaging

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SPS Webinar: 14 December 2022, Recent Advances in Non-line-of-sight Imaging

Upcoming SPS Webinar!

Title: Recent Advances in Non-line-of-sight Imaging
Date:  14 December 2022
Time: 10:00 AM Eastern (New York time)
Duration: Approximately 1 Hour
Presenters: Dr. Dr. Christopher Metzler, Dr. David Lindell, Prof. Gordon Wetzstein

Based on the IEEE Xplore® article: Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path
Published: IEEE Transactions on Computational Imaging, December 2020, available in IEEE Xplore®

Download: The original article is available for download.

 

Register for the Webinar

 

Abstract:

Non-line-of-sight (NLoS) imaging is an exciting technology which uses time-resolved sensors to see objects that are hidden from view. In essence, NLoS imaging lets someone turn a wall into a mirror. This talk will highlight recent advances in NLoS imaging, with an emphasis on the algorithms which underlie their operation. We will first describe the operating principles behind NLoS imaging and recent methods for fast and efficient imaging of hidden objects. We will then describe how one can leverage object motion to enable NLoS imaging with just a single optical path, such as through the keyhole of a door.

Biography:

Christopher Metzler

Dr. Christopher A. Metzler (IEEE member) received the B.S., M.S., and Ph.D. in electrical and computer engineering from Rice University in 2013, 2014, and 2019, respectively.
 
He is currently an Assistant Professor of Computer Science at the University of Maryland, College Park, where he directs the UMD Intelligent Sensing Lab. He is a member of University of Maryland Institute for Advanced Computer Studies (UMIACS) and has a courtesy appointment in the Electrical and Computer Engineering Department. From 2019-2020 he was a postdoc in the Stanford Computational Imaging Lab. His research develops systems and algorithms for solving problems in computational imaging, machine learning, and wireless communication.
 
Dr. Metzler’s work has received multiple best paper awards and recently received an AFOSR Young Investigator Program Award. He was an Intelligence Community Postdoctoral Research Fellow, an NSF Graduate Research Fellow, a DoD NDSEG Fellow, and a NASA Texas Space Grant Consortium Fellow.

 

Christopher Metzler

Dr. David Lindell (IEEE member) received the Ph.D. from Stanford University.

He is currently an Assistant Professor in the Department of Computer Science at the University of Toronto. His research combines optics, emerging sensor platforms, machine learning, and physics-based algorithms to enable new capabilities in visual computing.  His research also has a wide array of applications including autonomous navigation, virtual and augmented reality, and remote sensing.

Dr. Lindell is the recipient of the 2021 ACM SIGGRAPH Outstanding Dissertation Honorable Mention Award.

 

Christopher Metzler

Prof. Gordon Wetzstein (IEEE Senior Member) is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, artificial intelligence, computational optics, and applied vision science, his research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems.
 
Prof. Wetzstein is the recipient of numerous awards, including an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award to an Electronic Imaging Scientist of the Year Award, to Alain Fournier Ph.D. Dissertation Award as well as many Best Paper and Demo Awards.

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