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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Main Author: Kampmann Markus
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S111086570440208X
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spelling 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
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