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MAP Estimation of Chin and Cheek Contours in Video Sequences
EURASIP Journal on Advances in Signal Processing volume 2004, Article number: 817690 (2004)
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.
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Kampmann, M. MAP Estimation of Chin and Cheek Contours in Video Sequences. EURASIP J. Adv. Signal Process. 2004, 817690 (2004). https://doi.org/10.1155/S111086570440208X
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DOI: https://doi.org/10.1155/S111086570440208X