Camera Relocalization

Camera relocalization aims to accurately determine a camera's 3D position and orientation within a known environment using only an image or a sequence of images. Current research focuses on improving robustness and efficiency, exploring techniques like sparse feature matching, neural radiance fields, and vision transformers to achieve accurate pose estimation even under challenging conditions such as varying lighting, dynamic scenes, and limited views. These advancements are crucial for applications in augmented reality, robotics, autonomous driving, and other fields requiring precise visual localization in complex environments.