29 November 2007 Study of lip-reading detecting and locating technique
Author Affiliations +
With the development of human computer interaction, lip reading technology has become a topic focus in the multimode technologic field. However, detecting and locating lip accurately are very difficult because lip contours of different people, varied illuminant conditions, head movements and other factors. Based on the methods of detecting and locating lip we proposed the methods which are based on the lips color extracted lip contour using the adaptive chromatic filter from the facial images. It is not sensitive to illumination, but appropriate chromatic lip filter is given by analyzing the entire face color and clustering statistics of lip color. It is proposed the combinable method which is preprocessing the face image including rotating the angle of face and improving image contrast in this paper and the lip region is analyzed clustering characteristics for the skin color and lip color, obtained adaptive chromatic filter which can prominent lips from the facial image. This method overcomes the varied illuminate, incline face. The experiments showed that it enhanced detection and location accurately through rough detecting lip region. It lay a good foundation for extraction the lip feature and tracking lip subsequently.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lirong Wang, Lirong Wang, Jie Li, Jie Li, Yanyan Zhao, Yanyan Zhao, } "Study of lip-reading detecting and locating technique", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 683332 (29 November 2007); doi: 10.1117/12.758299; https://doi.org/10.1117/12.758299


A region finding method to remove the noise from the...
Proceedings of SPIE (December 07 2015)
An Object-Pass Filter For Image Processing
Proceedings of SPIE (December 18 1985)
A self-profiling image noise and edge enhancement filter
Proceedings of SPIE (January 18 2010)
Image decomposition and enhancement using rank filtering
Proceedings of SPIE (March 09 1998)

Back to Top