A new optimization procedure for extracting the point-based lip contour using active shape model

K. L. Sum; W. H. Lau; S. H. Leung; A. W C Liew; K. W. Tse

doi:10.1109/ICASSP.2001.941212

A new optimization procedure for extracting the point-based lip contour using active shape model

K. L. Sum, W. H. Lau, S. H. Leung, A. W C Liew, K. W. Tse

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

30 Citations (Scopus)

Abstract

This paper presents a new optimization procedure for extracting the point-based lip contour using Active Shape Model (ASM). A 14-point ASM lip model is used to describe the lip contour. With the aid of fuzzy clustering analysis, a probability map of the color lip image is obtained and a region-based cost function is established. The new optimization procedure operates on the spatial domain (actual contour points) and all the points are pulled towards their desirable locations in each iteration. Hence, the lip contour evolution becomes better controlled and consequently fast convergence is achieved. The new procedure can also achieve real-time performance on lip contour extraction and tracking from lip image sequence.

Original language	English
Pages (from-to)	1485-1488
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
DOIs	https://doi.org/10.1109/ICASSP.2001.941212
Publication status	Published - 2001
Event	2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States Duration: 7 May 2001 → 11 May 2001

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title = "A new optimization procedure for extracting the point-based lip contour using active shape model",

abstract = "This paper presents a new optimization procedure for extracting the point-based lip contour using Active Shape Model (ASM). A 14-point ASM lip model is used to describe the lip contour. With the aid of fuzzy clustering analysis, a probability map of the color lip image is obtained and a region-based cost function is established. The new optimization procedure operates on the spatial domain (actual contour points) and all the points are pulled towards their desirable locations in each iteration. Hence, the lip contour evolution becomes better controlled and consequently fast convergence is achieved. The new procedure can also achieve real-time performance on lip contour extraction and tracking from lip image sequence.",

author = "Sum, {K. L.} and Lau, {W. H.} and Leung, {S. H.} and Liew, {A. W C} and Tse, {K. W.}",

year = "2001",

doi = "10.1109/ICASSP.2001.941212",

language = "English",

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pages = "1485--1488",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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note = "2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing ; Conference date: 07-05-2001 Through 11-05-2001",

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A new optimization procedure for extracting the point-based lip contour using active shape model. / Sum, K. L.; Lau, W. H.; Leung, S. H. et al.
In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 3, 2001, p. 1485-1488.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

TY - JOUR

T1 - A new optimization procedure for extracting the point-based lip contour using active shape model

AU - Sum, K. L.

AU - Lau, W. H.

AU - Leung, S. H.

AU - Liew, A. W C

AU - Tse, K. W.

PY - 2001

Y1 - 2001

N2 - This paper presents a new optimization procedure for extracting the point-based lip contour using Active Shape Model (ASM). A 14-point ASM lip model is used to describe the lip contour. With the aid of fuzzy clustering analysis, a probability map of the color lip image is obtained and a region-based cost function is established. The new optimization procedure operates on the spatial domain (actual contour points) and all the points are pulled towards their desirable locations in each iteration. Hence, the lip contour evolution becomes better controlled and consequently fast convergence is achieved. The new procedure can also achieve real-time performance on lip contour extraction and tracking from lip image sequence.

AB - This paper presents a new optimization procedure for extracting the point-based lip contour using Active Shape Model (ASM). A 14-point ASM lip model is used to describe the lip contour. With the aid of fuzzy clustering analysis, a probability map of the color lip image is obtained and a region-based cost function is established. The new optimization procedure operates on the spatial domain (actual contour points) and all the points are pulled towards their desirable locations in each iteration. Hence, the lip contour evolution becomes better controlled and consequently fast convergence is achieved. The new procedure can also achieve real-time performance on lip contour extraction and tracking from lip image sequence.

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DO - 10.1109/ICASSP.2001.941212

M3 - RGC 21 - Publication in refereed journal

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SP - 1485

EP - 1488

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing

Y2 - 7 May 2001 through 11 May 2001

ER -

A new optimization procedure for extracting the point-based lip contour using active shape model

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