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基于双肤色模型及AdaBoost算法的人脸检测
引用本文:谢淑丽. 基于双肤色模型及AdaBoost算法的人脸检测[J]. 莆田高等专科学校学报, 2009, 0(5): 64-67
作者姓名:谢淑丽
作者单位:漳州职业技术学院计算机工程系,福建漳州363000
摘    要:针对复杂背景和可变光照条件下,彩色静止图像的人脸检测问题,综合利用YCbCr和HSI颜色空间下的肤色模型,先进行肤色分割,定位出候选人脸,再用AdaBoost级联分类器进行检测验证,有利于提高检测效率,降低误检率。

关 键 词:人脸检测  YCbCr肤色模型  HSI肤色模型  AdaBoost级联分类器

Face Detection Based on Dual-Skin Color Model and AdaBoost Algorithm
XIE Shu-li. Face Detection Based on Dual-Skin Color Model and AdaBoost Algorithm[J]. Journal of Putian College, 2009, 0(5): 64-67
Authors:XIE Shu-li
Affiliation:XIE Shu-li ( Department of Computer Engineering, Zhangzlaou Institute of Technology, Zhangzhou Fujian 363000, China )
Abstract:Focusing on face detection problems of color still image under the conditions of the complex background and variable illumination, an adoption of taking a comprehensive utilization of YCbCr and HSI color model, first conducting skin color segmentation to position the candidate's face, and then using AdaBoost cascade classifier to test and verify, will be beneficial to improving the detect efficiency and reducing the rate of false.
Keywords:face detection  YCbCr color model  HSI color model  AdaBoost cascade classifier
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