KS-APR: Keyframe Selection for Robust Absolute Pose Regression

arXiv:2308.05459v2 Announce Type: replace
Abstract: Markerless Mobile Augmented Reality (AR) aims to anchor digital content in the physical world without using specific 2D or 3D objects. Absolute Pose Regressors (APR) are end-to-end machine learning solutions that infer the device's pose from a single monocular image. Thanks to their low computation cost, they can be directly executed on the constrained hardware of mobile AR devices. However, APR methods tend to yield significant inaccuracies for input images that are too distant from …

3d objects abstract anchor arxiv augmented reality computation cost cs.cv digital digital content image low machine machine learning mobile objects reality regression robust solutions type world