電気学会論文誌C分冊 , Vol.116-C [4], pp.442-448 (1996)
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 retions 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.
| mail address: | |
← お手数ですが打ち込んで下さい |
First Written Before June 17, 1998
Transplanted to KSU Before May 16, 2003
Transplanted to So-net May 3, 2005
Last Update April 11, 2007
© Yasuaki Nakano 1998-2007