Skip to main content
  • Research Article
  • Published:

MAP Estimation of Chin and Cheek Contours in Video Sequences

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Markus Kampmann.

Rights and permissions

Reprints and permissions

About this article

Cite this article

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

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI: https://doi.org/10.1155/S111086570440208X

Keywords