Geometric Vision

Geometric vision focuses on enabling computers to understand and interpret the geometry of scenes from visual data, aiming for robust and efficient solutions to problems like 3D reconstruction and object pose estimation. Current research emphasizes developing and evaluating large language and multimodal models for improved geometric reasoning, particularly addressing limitations in depth and height perception, and exploring novel algorithms like the Burer-Monteiro method for optimizing computationally expensive tasks. These advancements are crucial for improving the accuracy and efficiency of applications ranging from robotics and autonomous navigation to augmented reality and medical imaging.