摘要
主要研究人脸检测算法,分析了现有人脸检测算法的特点和不足之处。采用基于YCbCr空间的高斯肤色模型,利用颜色信息把彩色图像分割成皮肤区、头发区和背景区。对皮肤区进行去噪处理,实现脸部区域的具体定位,然后对人脸上的眼睛、嘴巴和鼻子定位。给出了人脸检测的模块设计和算法流程。
This paper focuses on the study of face detection algorithm to analyze its characteristics and shortcomings. Based on the YCbCr space of Gaussian complexion model, it could divide the multicolor image into three parts by the color information, which are skin area, hair area and background area. Then smoothen the skin area of the image so as to succeed in the Localization of face and then eyes, mouth and nose. Finally, the article gives the modular design and algorithm process of face detection.
出处
《软件导刊》
2009年第2期179-181,共3页
Software Guide
关键词
人脸检测
肤色模型
人脸特征
Face Detection
Complexion Model
Face Characteristics
