PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
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
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
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