Recovery of 3D Human Pose by Jointly Learning Metrics and Mixtures of Experts

摘要

Systems and methods are disclosed for determining human pose by generating an Appearance and Position Context (APC) local descriptor that achieves selectivity and invariance while requiring no background subtraction; jointly learning visual words and pose regressors in a supervised manner; and estimating the human pose.