DocumentCode :
3346761
Title :
A new optimization procedure for extracting the point-based lip contour using active shape model
Author :
Sum, K.L. ; Lau, WH ; Leung, S.H. ; Liew, Alan Wc ; Tse, K.W.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1485
Abstract :
This paper presents a new optimization procedure for extracting the point-based lip contour using the 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
Keywords :
edge detection; feature extraction; fuzzy systems; image sequences; optimisation; pattern clustering; ASM lip model; active shape model; automatic speech recognition system; color lip image; fast convergence; fuzzy clustering analysis; lip image sequence; optimization; point-based lip contour extraction; probability map; real-time performance; region-based cost function; spatial domain; Active shape model; Automatic control; Automatic speech recognition; Convergence; Cost function; Deformable models; Image analysis; Image color analysis; Image sequences; Optical wavelength conversion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.941212
Filename :
941212
Link To Document :
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