A Fast Algorithm for Lip Contour and Feature Extraction
The paper proposes a fast method that uses the lips color information in the Lab color space and the pre-knowledge of geometric characteristics around lip areas to extract the lip contour and visual speech features from color images or video sequences with front talking faces.In our method,the Adaboost algorithm is utilized to realize the face detection.Then,the mouth area is segmented based on the face shape attribution.According to the relative position of the trough and crest of the histogram,we can get an adaptive threshold.The A-component in the Lab color space was used to extract the outer lip and the L-component is used to extract the inner lip.From the contour image,we obtain the feature by searching twice the points of the contour.The experimental results show that obtained visual feature values in our approach are approximate to that with AAM algorithm but with less computation complexity.
Lab color space Lips contour extraction visual speech feature
Xibin Jia Kewei Zhang
Multimedia and Intelligent Software Technology,Beijing Municipal Key Laboratory Beijing University of Technology,Beijing,100124,China
国际会议
沈阳
英文
2040-2044
2012-09-07（万方平台首次上网日期，不代表论文的发表时间）