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复杂背景和光照多变的人脸检测方法
  • ISSN号：1002-8331
  • 期刊名称：《计算机工程与应用》
  • 时间：0
  • 分类：TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]华东师范大学电子科学技术系,上海200062, [2]徐州师范大学物理与电子工程学院,江苏徐州221116, [3]华东师范大学计算机科学技术系,上海200062
  • 相关基金：国家自然科学基金（the National Natural Science Foundation of China under Grant No.60573125, No.60873264 ） ;上海市2007年科技攻关重点项目 （the 2007 Major Seientific and Technical Project of Shanghai under Grant No.075115002）
作者： 李全彬[1,2], 孙巧榆[3], 刘锦高[1], 李明[1]
关键词： 人脸检测, YCBCR颜色空间, 连续均值量化变换, 稀疏网络模型, face detection , YCbCr color space, Successive Mean Quantization Transform（SMQT） , Sparse Network of Winnows（SNoW ）
中文摘要：

复杂背景和光照多变的人脸检测是自动人脸识别系统需要解决的重要问题之一，首先利用YCbCr空间进行肤色分割，获取候选人脸区域，然后提取相应区块的LSMQT特征，并利用SNoW分类器进行特征分类，最终获取人脸在图像中的准确位置。实验证明，该方法对复杂背景和光照多变的图像中的人脸具有较高的正确检测率。

英文摘要：

Face detection in complicated backgrounds and different illumination conditions is one of the important problems to be solved in the automatic face recognition system.The image including faces is searched by using YCbCr color space firstly,then, the features of the segmented skin color areas are extracted tbrough LSMQT method,further, the SNoW classifier is introduced.Finally,the features and classifier are combined for the task of face detection.The results of experiments show that this method has a high face detection correct rate to the images with complicated backgrounds and different illumination conditions.

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期刊信息
  • 《计算机工程与应用》
  • 北大核心期刊（2014版）
  • 主管单位:中国电子科技集团公司
  • 主办单位:华北计算技术研究所
  • 主编：怀进鹏
  • 地址：北京市海淀区北四环中路211号北京619信箱26分箱
  • 邮编：100083
  • 邮箱：ceaj@vip.163.com
  • 电话：
  • 国际标准刊号：ISSN：1002-8331
  • 国内统一刊号：ISSN：11-2127/TP
  • 邮发代号:82-605
  • 获奖情况:
  • 1. 2012年首批获得中国学术文献评价中心发布的 “...,2. 2001年获得新闻出版署“中国期刊方阵双效期刊”,3. 2008年首批入选国家科技部“中国精品科技期刊...,4.2003年-2011年连续获得工业和信息化部期刊最高...
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  • 被引量:97887