Accurate single view model-based head pose estimation

Abstract

A framework for automatic human head pose estimation from single view images is proposed. The 6DOF head pose was estimated using pose from orthography and scaling with iterations (POSIT) where a statistical anthropometric 3D rigid model is used as an approximation of the human head, combined with active appearance models (AAM) for facial features extraction and tracking. The overall performance of the proposed solution was evaluated comparing the results with a ground-truth data obtained by a pose planar approach. The results show that orientations and head location were, on average, found within 2deg or 1 cm error standard deviations respectively.