Geometric Constraints in Deep Learning Frameworks: A Survey

arXiv:2403.12431v1 Announce Type: new
Abstract: Stereophotogrammetry is an emerging technique of scene understanding. Its origins go back to at least the 1800s when people first started to investigate using photographs to measure the physical properties of the world. Since then, thousands of approaches have been explored. The classic geometric techniques of Shape from Stereo is built on using geometry to define constraints on scene and camera geometry and then solving the non-linear systems of equations. More recent work has taken …

abstract arxiv constraints cs.ai cs.cv deep learning deep learning frameworks frameworks least people photographs survey type understanding world