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