Extraction of Facial Images from the Complex Background Using Color
Information and SGLD Matrix (in Japanese)
Ying Dai and Yasuaki Nakano
Trans. of IEEJ, Vol.116-C [4], pp.442-448 (in Japanese)
Abstract
It is the key step fore face recognition systems to extract
facial parts from the complex backgrounds. In this paper, we propose a new
method for the face extraction in the color complex backgrounds. By transforming
color images from RGB color representation to YIQ color one, the orange-like
parts including the face areas are enhanced in the original images, if the
I-component of YIQ color system is only used. The facial texture model based on
the space gray level dependence matrices is applied to these images. Using this
model, facial parts are detected as those regions which satisfy a set of
inequalities. The weight coefficients in the inequalities are decided by the
conventional method of learning, Using this texture model, we design a kind of
scanning scheme for face detection in the complex backgrounds. The experiments
show that this method could locate the face position in the complex backgrounds
effectively.
[Face Recognition]
[Research Themes of Prof. Nakano.]
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First Written Before June 17, 1998
Transplanted to KSU Before June 19, 2003
Transplanted to So-net April 22, 2007
Last Update April 22, 2007
© Yasuaki Nakano 1998-2007