Monocular head pose estimation

Abstract

This work addresses the problem of human head pose estimation from single view images. 3D rigid head pose is estimated combining Active Appearance Models (AAM) with Pose from Orthography and Scaling with ITerations (POSIT). AAM shape landmarks are tracked over time and used in POSIT for pose estimation. A statistical anthropometric 3D model is used as reference. Several experiences were performed comparing our results with a planar ground truth. These experiments shows that orientations and distances were, on average, found within 2° or 1cm standard deviations respectively. © 2008 Springer-Verlag Berlin Heidelberg.