Seeing 3D with Polarized Light

#NoVA #Signal #Processing #Chapter #optics #computational #imaging
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Prof. Jinwei Ye, George Mason University


Dear NoVA Signal Processing Chapter Members:

Please join us on Wednesday, 18 November 2026, for a technical talk by Prof. Jinwei Ye of George Mason University.  Prof. Ye’s talk features optical imaging techniques that leverage polarized light.

 

Abstract: Polarization, as an intrinsic property of light, provides an extra dimension of information for probing the physical world. Many insects can see and make use of polarized light. For example, bumble bees use the sky’s polarization pattern for fast navigation. The polarization of light is often overlooked in computer vision, as human eyes do not have such sensitivity. However, it turns out that reasoning on the polarization state of light allows for more efficient geometry and material analysis than using the conventional color images alone. In this talk, I will describe my works that use polarized light for 3D reconstruction and material understanding. I will first explain the principles of polarization sensing and the modeling of polarimetric appearance. I will then showcase several imaging solutions that use polarized light for high fidelity 3D reconstruction in challenging scenarios. I will show applications of these imaging solutions in VR, robotics and scientific imaging.

 



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  • 7415 Arlington Blvd
  • Falls Church, Virginia
  • United States 22042
  • Building: Thomas Jefferson Public Library
  • Room Number: Meeting Room 1

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  • Starts 12 October 2026 04:00 AM UTC
  • Ends 18 November 2026 11:05 PM UTC
  • No Admission Charge


  Speakers

Jinwei of George Mason University

Biography:

Biography: Jinwei Ye is an associate professor of Computer Science at George Mason University. Before that, she was an assistant professor at Louisiana State University (2017–2021). She received her Ph.D. in Computer Science from the University of Delaware in 2014. She worked with ARL (2014 - 2015) and Canon U.S.A. (2015 - 2017). Her research interests are at the intersection of computational imaging, computer vision, and computer graphics, with focus on geometry and appearance understanding. Her works are largely supported by NSF and ARL. She received the NSF CAREER awards in 2023. She served in the senior program committee and organizing committee for major computational imaging and computer vision conferences, including ICCP, CVPR, ICCV, ECCV and WACV.

Address:Fairfax, Virginia, United States





Virtual attendance is an option using the link below 

 https://ieeesa.webex.com/ieeesa/j.php?MTID=mb27e5e2fa604ac9bbfd9c074f35eea11