Temporal camera relocalization estimates the pose with respect to each video frame in sequence, as opposed to one-shot relocalization which focuses on a still image.
Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure, and loop closure detection.
CAMERA RELOCALIZATION LOOP CLOSURE DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING
Using a Bayesian convolutional neural network implementation we obtain an estimate of the model's relocalization uncertainty and improve state of the art localization accuracy on a large scale outdoor dataset.
We present a robust and real-time monocular six degree of freedom relocalization system.