Presentation
17 March 2023 PhyCV: the first physics-inspired computer vision library
Author Affiliations +
Proceedings Volume PC12438, AI and Optical Data Sciences IV; PC124380T (2023) https://doi.org/10.1117/12.2649546
Event: SPIE OPTO, 2023, San Francisco, California, United States
Abstract
In this talk, we will present PhyCV: the first physics-inspired computer vision library. PhyCV is a new class of computer vision algorithms directly derived from the equations of physics governing physical phenomena. The algorithms appearing in the first release emulate, in a metaphoric sense, the propagation of light through a physical medium with natural and engineered diffractive properties followed by coherent detection.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yiming Zhou, Callen MacPhee, Madhuri Suthar, and Bahram Jalali "PhyCV: the first physics-inspired computer vision library", Proc. SPIE PC12438, AI and Optical Data Sciences IV, PC124380T (17 March 2023); https://doi.org/10.1117/12.2649546
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KEYWORDS
Computer vision technology

Machine vision

Algorithm development

Analog electronics

Detection and tracking algorithms

Physical phenomena

Physics

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