Characterizing errors in rotation and translation while estimating camera pose from images
Has anyone characterized the errors in rotation and translation while estimating camera pose of natural images using SFM or visual odometry? I mean, when estimating camera pose, what is the typical amount of error in rotation and translation that one can expect?
Any references on errors in odometry sensors are also welcome.
Topic computer-vision error-handling
Category Data Science