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基于灰度信息的人脸检测系统 被引量:1

Face Detection System Based on Gray Information
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摘要 提出了一种基于人眼灰度信息的人脸识别算法。该算法首先根据眼球区域的灰度比它周围区域的灰度低,初步地筛选出可能含有人脸的图像,再把筛选出的图像分割成小图像块,根据图像块的复杂度对人两只眼睛的大概位置进行定位,最后采用居中法,进一步确定人眼的存在,进而确定人脸的确切位置。实验结果表明,文中提出的算法具有较高的检测正确率,同时具有较快的检测速度。 Advances an arithmetic about face location. Face location is an important basis for automatic human face recognition. In this paper,there are two steps to detect human face. The first, will find the picture which has the likelihood with human face, using the gray character information. The second, will use a method to look for the cemer of eyes. According to experiment,concludes that this arithmetic has a great efficiency and speed.
出处 《微机发展》 2005年第12期107-109,共3页 Microcomputer Development
基金 湖北省自然科学基金项目(2004ABA068)
关键词 人脸检测 灰度 居中法 automatic human face detection gray information center
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参考文献4

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同被引文献13

  • 1于威威,滕晓龙,刘重庆.复杂背景下人眼定位及人脸检测[J].计算机仿真,2004,21(12):185-188. 被引量:10
  • 2李武军,钟翔平,李宁,陈世福.一种快速而精确的多人脸检测与定位算法[J].小型微型计算机系统,2005,26(9):1520-1524. 被引量:7
  • 3石跃祥,蔡自兴,B.Benhabib,王学武.基于眼睛梯度对特征的人脸检测方法[J].计算机工程与应用,2005,41(26):27-29. 被引量:4
  • 4王学武,石跃祥.基于眼睛特征的人脸检测方法[J].计算机应用研究,2006,23(1):239-240. 被引量:4
  • 5[1]Yin Jian-qin,Li Jin-ping,Li Yue-long.Face Recogni-tion by Using Generalized RBF Neural Networks[C].Proceedings of International Conference on Sensing,Computing and Automation,2006:3055-3059.
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