Automatic lip contour extraction using both pixel-based and parametric models
Wu W., Kuruoglu E. E., Wang S., Li S., Li J.
Lip contour extraction Lip segmentation Lip modeling Jumping snake Face recognition
Lip segmentation, a sub-step of facial analysis, becomes more and more important in the fields of pattern recognition and human-computer interaction. In this paper, a novel algorithm for lip contour extraction that combines the merits of the pixel-based model and the parametric model is presented. Lip corner detection is the first step of this algorithm, utilizing a three-curve lip model to describe lip contour. The improved "Jumping Snake" algorithm is used to extract feature points for lip model implementation, which makes the novel algorithm more accurate and flexible. It is also made more robust with the introduction of geometric constraints. Experiments show that this approach with geometric constraints provides satisfactory results. It can also serve as an initial attempt for further applications.
Source: Chinese journal of electronics 22 (2013): 76–82.
Publisher: Technology Exchange Limited, Hong Kong , Hong Kong
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@article{oai:it.cnr:prodotti:276743,
title = {Automatic lip contour extraction using both pixel-based and parametric models},
author = {Wu W. and Kuruoglu E. E. and Wang S. and Li S. and Li J.},
publisher = {Technology Exchange Limited, Hong Kong , Hong Kong},
journal = {Chinese journal of electronics},
volume = {22},
pages = {76–82},
year = {2013}
}
0000-0002-2608-8034