A face detection method based on color and geometry information

Author

Rong Wang ; Xiaogang Yang

Author_Institution

Coll. of Security & Protection, Chinese People´s Public Security Univ., Beijing, China

fYear

2012

fDate

23-25 May 2012

Firstpage

1960

Lastpage

1963

Abstract

A face detection method based on color and geometry information is researched in this paper. Firstly, the color image with a few faces is pre-proceeded by light compensation. Secondly, the color image proceeded is segmented based on the skin color information to get a binary human face image. At last, the skin areas are marked, then, the ratio of width and height, the number of width pixels and height pixels are used to select right human face areas. The experimental results show that this method considers color and geometry information comprehensively, the effect of face detection is fine, the method is easy and the computation speed is fast.

Keywords

computational geometry; face recognition; image colour analysis; image resolution; object detection; color image; face detection method; geometry information; height pixels; noise smoothing; skin color information; width pixels; Brightness; Face; Face detection; Geometry; Humans; Image color analysis; Skin; Color space; Face detection; Noise smoothing; light compensation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244316

Filename

6244316