Open Access

MAP Estimation of Chin and Cheek Contours in Video Sequences

EURASIP Journal on Advances in Signal Processing20042004:817690

DOI: 10.1155/S111086570440208X

Received: 28 December 2002

Published: 15 June 2004


An algorithm for the estimation of chin and cheek contours in video sequences is proposed. This algorithm exploits a priori knowledge about shape and position of chin and cheek contours in images. Exploiting knowledge about the shape, a parametric 2D model representing chin and cheek contours is introduced. Exploiting knowledge about the position, a MAP estimator is developed taking into account the observed luminance gradient as well as a priori probabilities of chin and cheek contours positions. The proposed algorithm was tested with head and shoulder video sequences (image resolution CIF). In nearly 70% of all investigated video frames, a subjectively error free estimation could be achieved. The 2D estimate error is measured as on average between 2.4 and .


facial feature extraction model-based video coding parametric 2D model face contour face model

Authors’ Affiliations

Ericsson Research


© Kampmann 2004