Physics-Informed Computer Vision: A Review and Perspectives

Understand

The incorporation of physical information in machine learning frameworks is opening and transforming many application domains.

• Here the learning process is augmented through the induction of fundamental knowledge and governing physical laws.
• In this work, we explore their utility for computer vision tasks in interpreting and understanding visual data.
• We present a systematic literature review of more than 250 papers on formulation and approaches to computer vision tasks guided by physical laws.