MAP Estimation of Chin and Cheek Contours in Video Sequences
<p/> <p>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 c...
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2004-01-01
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Online Access: | http://dx.doi.org/10.1155/S111086570440208X |
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doaj-05285fbd79fe4506aa7048159b6883522020-11-24T20:57:59ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-01-0120046817690MAP Estimation of Chin and Cheek Contours in Video SequencesKampmann Markus<p/> <p>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 <inline-formula><graphic file="1687-6180-2004-817690-i1.gif"/></inline-formula>.</p>http://dx.doi.org/10.1155/S111086570440208Xfacial feature extractionmodel-based video codingparametric 2D modelface contourface model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kampmann Markus |
spellingShingle |
Kampmann Markus MAP Estimation of Chin and Cheek Contours in Video Sequences EURASIP Journal on Advances in Signal Processing facial feature extraction model-based video coding parametric 2D model face contour face model |
author_facet |
Kampmann Markus |
author_sort |
Kampmann Markus |
title |
MAP Estimation of Chin and Cheek Contours in Video Sequences |
title_short |
MAP Estimation of Chin and Cheek Contours in Video Sequences |
title_full |
MAP Estimation of Chin and Cheek Contours in Video Sequences |
title_fullStr |
MAP Estimation of Chin and Cheek Contours in Video Sequences |
title_full_unstemmed |
MAP Estimation of Chin and Cheek Contours in Video Sequences |
title_sort |
map estimation of chin and cheek contours in video sequences |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2004-01-01 |
description |
<p/> <p>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 <inline-formula><graphic file="1687-6180-2004-817690-i1.gif"/></inline-formula>.</p> |
topic |
facial feature extraction model-based video coding parametric 2D model face contour face model |
url |
http://dx.doi.org/10.1155/S111086570440208X |
work_keys_str_mv |
AT kampmannmarkus mapestimationofchinandcheekcontoursinvideosequences |
_version_ |
1716786902184493056 |