Jinwei Ye, Assistant Professor, Computer Science, received funding for the project: "CAREER: Towards Polarimetric Visual Understanding."
In this project, Ye will study how the way surfaces reflect polarized light can be used to help recognize objects more effectively.
Ye will address the following two questions: (1) How does the polarization of light change after interacting with various types of surfaces? (2) What can polarized light tell us about the kinds of objects that it has interacted with?
Addressing these questions can lead to significant improvements in machine vision systems by strengthening their capability to do geometric and semantic scene understanding in which shapes are described and named.
This project will result in new polarization-based vision systems for autonomous navigation and smart manufacturing. It will also produce novel solutions to the challenging problems of imaging and sensing through scattering media, including water, fog, haze, clouds, and bodily tissues.
Ye will receive total funding of $600,000 from NSF for this award. Funding began in July 2023 and will end in late June 2028.
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