Detection and localization of face feature area for man-machine interaction

Author

Meng, Shan ; Zhang, Youwei

Author_Institution

Wuyi Univ., Guangdong, China

Volume

2

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

1011

Abstract

In this paper, we describe methods of detecting a human face and localizing the feature area in our man-machine interaction project. We use a simplified human skin color model for pre-segmenting the input image. From candidate areas we use linear Fisher discriminate analysis (LFDA) to choose the most like face area, then in the detected face area, we localize the feature area with LFDA and linear principal component analysis (LPCA). We use the method of the image pyramid to improve the searching speed. The results are presented on images from the Chinese audio visual speech recognition database (CAVSRD 1.0).

Keywords

face recognition; image classification; image segmentation; principal component analysis; speech recognition; speech-based user interfaces; LFDA; LPCA; face feature area; human face; human skin color model; image pyramid; input image; linear Fisher discriminate analysis; linear principal component analysis; man-machine interaction; pre-segmentation; Audio databases; Face detection; Humans; Image databases; Man machine systems; Principal component analysis; Skin; Spatial databases; Speech recognition; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1179959

Filename

1179959