Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking

Abstract

In this paper, we present an optimized implementation of automatic head direction extraction for a person placed in front of his webcam. The aim is to compute the different rotation angles of the head with a non-invasive and continuous tracking. Our method is based on 2D features tracking of the face with a low cost webcam. This information is associated to a set of points from a 3D head model by perspective-n-point solution to obtain pitch, roll and yaw. These results are then compared with a reference acquired with faceLAB, a robust markerless head tracker and eye tracking system. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.