View Geometry

View geometry focuses on understanding and utilizing the geometric relationships between multiple views of a scene, primarily to reconstruct 3D structure and camera poses. Current research emphasizes robust methods for estimating these relationships, even under challenging conditions like extreme viewpoint changes or limited overlapping regions, employing techniques such as neural networks (e.g., transformers, diffusion models), tensor factorization, and refined RANSAC algorithms coupled with novel scoring mechanisms. These advancements are crucial for applications ranging from autonomous navigation and 3D scene reconstruction to object detection and novel view synthesis, improving accuracy and efficiency in various computer vision tasks.