A new algorithm of face detection based on differential images and PCA in color image

Author

Xu Yan ; Chen Xiaowei

Author_Institution

Collage Of Inf., Linyi Normal Univ., Linyi, China

fYear

2009

fDate

8-11 Aug. 2009

Firstpage

172

Lastpage

176

Abstract

In this paper, a new algorithm of face detection based on differential images and PCA in color image is proposed which modified the eigenface technique. First, skin picking-up is carried out by color analysis of an image. Then, for finding the exact positions of faces, a finer matching is performed by eigenface in these detected fields and a mosaic template is used to suppress the false face. Considering the correlation between the pixels in a face image, the PCA method is performed both on the raw image and on its horizontal differential image and vertical differential image for feature extraction. And then the stability of the face detection is improved.

Keywords

feature extraction; image colour analysis; image segmentation; object detection; principal component analysis; PCA; eigenface technique; face detection algorithm; feature extraction; horizontal differential image; image color analysis; mosaic template; principal component analysis; vertical differential image; Color; Face detection; Facial features; Humans; Image segmentation; Pixel; Principal component analysis; Skin; Space technology; Stability; differential image; eigenface; face detection; skin model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4519-6

Electronic_ISBN

978-1-4244-4520-2

Type

conf

DOI

10.1109/ICCSIT.2009.5234380

Filename

5234380