EURASIP Journal on Applied Signal Processing
Volume 2004 (2004), Issue 6, Pages 913-922
doi:10.1155/S111086570440208X
Abstract
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 2.9 pel.