Physics-inspired computer vision algorithms for autonomous driving, security, and medical applications

Bahram Jalali

doi:10.1117/12.2678189

28 September 2023 Physics-inspired computer vision algorithms for autonomous driving, security, and medical applications

Bahram Jalali

Author Affiliations +

Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC126550Y (2023) https://doi.org/10.1117/12.2678189
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

Low-dimensional computational imaging tools with surprisingly high performance can be created by coding physical phenomena as algorithms. This discovery suggests qualitatively new ways to reimagine image and video data and to accelerate computing via analog hardware.

Conference Presentation

Citation Download Citation

Bahram Jalali "Physics-inspired computer vision algorithms for autonomous driving, security, and medical applications", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC126550Y (28 September 2023); https://doi.org/10.1117/12.2678189

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