Title :
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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244316
