Estimation of Face Position and Pose with Labeled Graphs
Norbert Krüger, Michael Pötzsch, Tobias Maurer, Mikael Rinne · 1996
We present a new system for the automatic determination of the position, size and pose of the head of a human figure in a camera image. The system is an extension of the well--known face recognition system [WFK] to pose estimation. The pose estimation system is characterized by a certain reliability and speed. We improve this performance and speed with the help of statistical estimation methods. In order to make these applicable, we reduce the originally very high dimensionality of our system with the help of a number of a priori principles. 1 Introduction In this paper we deal with two problems. Firstly, we describe a pose estimation algorithm based on Elastic Graph Matching (EGM) [LVB, WFK]. The algorithm is an extension of the face representation introduced in [WFK] to the problem of pose estimation, in [WFK] the poses of faces is assumed to be known. Secondly, we improve the performance and speed of the pose estimation algorithm by learning. This learning algorithm can be ...