Generalized likelihood ratio-based face detection and extraction of mouth features
We describe a system to detect the speaker's face and mouth in videophone sequences. A statistical scheme based on a subspace method is described for detecting and tracking faces under varying poses. A matching criterion based on a Generalized Likelihood Ratio is optimized efficiently with resp...
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| Published in: | Pattern recognition letters Vol. 18; no. 9; pp. 899 - 912 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01-09-1997
Elsevier |
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| Abstract | We describe a system to detect the speaker's face and mouth in videophone sequences. A statistical scheme based on a subspace method is described for detecting and tracking faces under varying poses. A matching criterion based on a Generalized Likelihood Ratio is optimized efficiently with respect to a perspective transformation using a coarse-to-fine search strategy combined with a simulated annealing algorithm. Moreover, we analyze the amplitude projections around the speaker's mouth to describe the shape of the lips. All computations are performed on lossy H263-coded images. The proposed algorithms are well-suited to a further real-time implementation. |
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| AbstractList | We describe a system to detect the speaker's face and mouth in videophone sequences. A statistical scheme based on a subspace method is described for detecting and tracking faces under varying poses. A matching criterion based on a Generalized Likelihood Ratio is optimized efficiently with respect to a perspective transformation using a coarse-to-fine search strategy combined with a simulated annealing algorithm. Moreover, we analyze the amplitude projections around the speaker's mouth to describe the shape of the lips. All computations are performed on lossy H263-coded images. The proposed algorithms are well-suited to a further real-time implementation. |
| Author | Pérez, P. Kervrann, C. Forchheimer, R. Davoine, F. Labit, C. |
| Author_xml | – sequence: 1 givenname: C. surname: Kervrann fullname: Kervrann, C. email: kervrann@irisa.fr organization: IRISA/INRIA, Campus Universitaire de Beaulieu, TEMIS project, 35042 Rennes Cedex, France – sequence: 2 givenname: F. surname: Davoine fullname: Davoine, F. email: davoine@isy.liu.se organization: University of Linköping, Department of Electrical Engineering, Image Coding Group, S-581 83 Linköping, Sweden – sequence: 3 givenname: P. surname: Pérez fullname: Pérez, P. email: perez@irisa.fr organization: IRISA/INRIA, Campus Universitaire de Beaulieu, TEMIS project, 35042 Rennes Cedex, France – sequence: 4 givenname: R. surname: Forchheimer fullname: Forchheimer, R. email: robert@isy.liu.se organization: University of Linköping, Department of Electrical Engineering, Image Coding Group, S-581 83 Linköping, Sweden – sequence: 5 givenname: C. surname: Labit fullname: Labit, C. email: labit@irisa.fr organization: IRISA/INRIA, Campus Universitaire de Beaulieu, TEMIS project, 35042 Rennes Cedex, France |
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| Cites_doi | 10.1109/34.216724 10.1117/12.206647 10.1016/0262-8856(96)01098-0 10.1109/34.107011 10.1007/BF00133570 10.1007/BF00127169 10.1016/0923-5965(95)00023-3 10.1109/34.254061 10.1007/BF01421486 |
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| Issue | 9 |
| Keywords | Mouth features extraction Principal components analysis Face detection and tracking Simulated annealing |
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II start-page: 225 year: 1995 ident: 10.1016/S0167-8655(97)00065-2_BIB18 article-title: Fast image search using a multiscale stochastic model contributor: fullname: Sista – start-page: 203 year: 1996 ident: 10.1016/S0167-8655(97)00065-2_BIB17 article-title: Neural network-based face detection contributor: fullname: Rowley |
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| Snippet | We describe a system to detect the speaker's face and mouth in videophone sequences. A statistical scheme based on a subspace method is described for detecting... |
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| SubjectTerms | Computer Science Computer Vision and Pattern Recognition Face detection and tracking Mouth features extraction Principal components analysis Simulated annealing |
| Title | Generalized likelihood ratio-based face detection and extraction of mouth features |
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