Head Pose Determination Using Synthetic Images

Authors:
Kevin Bailly;Maurice Milgram
Affiliations:
UPMC Univ Paris 06, F-75005, Paris, France, CNRS, FRE 2507, ISIR, Institut des Systèmes Intelligents et de Robotique, Paris, France F-75005;UPMC Univ Paris 06, F-75005, Paris, France, CNRS, FRE 2507, ISIR, Institut des Systèmes Intelligents et de Robotique, Paris, France F-75005
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

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Abstract

In this paper, we propose a new approach to determine the head pose which is a very important issue in several new applications. Our method consists of building a synthetic image database for a dense set of pose parameter values. This can be done with only one real image of the face using the Candide-3 model. To determine the pose, we compare each synthesized face image to the current image using an Hausdorff-like distance applied to gradient orientation features. Experimental results show the efficiency of our approach on real images. The improvement is also proved through a comparison with other technique presented in literature.