Paper
24 April 2020 Blending physics with artificial intelligence
Achuta Kadambi
Author Affiliations +
Abstract
For centuries, humans have discovered the physical laws that underpin our world. What if the next Einstein or Newton is not a human, but a machine? Machines that are physics-aware can transform a multitude of fields, poised to enable unexpected and meaningful feats in science and engineering. In this paper, we survey methods germane to the imaging sciences where we observe a very special convergence of a millennia of optical theories with decades of digital photos.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Achuta Kadambi "Blending physics with artificial intelligence", Proc. SPIE 11396, Computational Imaging V, 113960B (24 April 2020); https://doi.org/10.1117/12.2565099
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Physics

Artificial intelligence

Computer vision technology

Machine vision

Cameras

Imaging systems

Polarization

RELATED CONTENT

Efficient ATR using contrastive learning
Proceedings of SPIE (May 31 2022)
Kinematic resection of scanned imagery
Proceedings of SPIE (August 17 1994)
Topologically clustering: a method for discarding mismatches
Proceedings of SPIE (November 15 2007)
Neural-network-based motion stereo methods
Proceedings of SPIE (March 01 1992)
Visual surveillance coverage: strategies and metrics
Proceedings of SPIE (October 24 2005)
Robust Notion Vision For A Vehicle Moving On A Plane
Proceedings of SPIE (May 11 1987)

Back to Top