Automatic Lip-Contour Extraction and Mouth-Structure Segmentation in Images

Lip-contour extraction has great potential for human-machine interface and communication systems, but most existing techniques are inappropriate for changing poses, malformations, or whole-mouth descriptions. A new mouth-structure segmentation methodology uses pixel color classification, segmentatio...

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Veröffentlicht in:	Computing in science & engineering 2011-05, Vol.13 (3), p.22-30
Hauptverfasser:	Gomez-Mendoza, Juan-Bernardo, Prieto, flavio, redarce, herve
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Color Descriptions Electric power Engineering Sciences Extraction Feature extraction Image color analysis Image segmentation Lip segmentation lip-contour extraction Lips mouth segmentation scientific computing Segmentation
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creator	Gomez-Mendoza, Juan-Bernardo Prieto, flavio redarce, herve
description	Lip-contour extraction has great potential for human-machine interface and communication systems, but most existing techniques are inappropriate for changing poses, malformations, or whole-mouth descriptions. A new mouth-structure segmentation methodology uses pixel color classification, segmentation refinement, and fitted region-of-interest clipping to improve the speed and accuracy of mouth-structure segmentation using standard database images.
doi_str_mv	10.1109/MCSE.2010.145
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subjects	Classification Color Descriptions Electric power Engineering Sciences Extraction Feature extraction Image color analysis Image segmentation Lip segmentation lip-contour extraction Lips mouth segmentation scientific computing Segmentation
title	Automatic Lip-Contour Extraction and Mouth-Structure Segmentation in Images
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