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单人图象中人眼的快速定位 被引量:10

Fast Location of Eye Features in a Single Person Image
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摘要 人眼的识别是计算机人脸识别和智能监控中的重要部分。本文提出了一种基于灰度投影曲线和边缘检测进行人眼定位的新算法。首先利用原图的垂直灰度投影曲线确定人脸的左右边界 ,之后利用人脸区域的水平灰度投影确定头顶至鼻中部的上下边界 ,然后利用人脸比例模型估计人眼的大概位置 ,分析人眼区域的边缘图象 ,给出人眼的确切位置。实现表明 ,该算法简单、快速 。 Eye recognition is very important in face recognition and intelligent surveillance.In this paper a new method of locating eye features in facial images based on gray level projection is put forward.First,the left and right boundaries of face is localized with vertical gray level projection.Secondly,face region's horizontal gray level projection is used to localize the top of the head and the middle of the nose.Finally,the face structure model is utilized to estimate the positions of eyes,and the edge features are checked to give the proper positions of eyes.Experiments show that the algorithm is simple,fast and robust.[WT5HZ]
出处 《计算机工程与科学》 CSCD 2001年第3期15-17,24,共4页 Computer Engineering & Science
关键词 边缘检测 人脸识别 人眼识别 计算机 彩色图象 vertical gray level projection horizontal gray level projection edge detection
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参考文献5

  • 1张欣,徐彦君,杜利民.彩色图象中主要人脸特征位置的全自动标定[J].中国图象图形学报(A辑),2000,5(2):138-143. 被引量:28
  • 2张欣,中国图象图形学报,2000年,5卷,A2期,138页
  • 3Wu Haiyuan,IEEE Trans PAMI,1999年,21卷,6期,557页
  • 4Lam Kin Man,Pattern Recognition,1996年,29卷,5期,771页
  • 5Xie X,Pattern Recognition,1994年,27卷,6期,791页

二级参考文献4

  • 11,Kwang Nam Choi, Andrew D J Cross, Edwin R Hancock. Lo-calising facial features with matched filters. In:AVBPA'97, Department of Computer Science, University of York,York,Y01 5DD,UK.
  • 22,Ariel Tankus. Hezy Yeshurun and Nathan Intrator. Face Detection by Direct Convexity Estimation. In:AVBPA'97, Department of Computer Science Tel-Aviv University, Ramat-Aviv 69978, Israel.
  • 33,Dieckmann U,Plankensteiner P,Schamburger R et al.SESAM:A biometric person identification system using sensor fusion. In:Proceedings of First International Conference of Audio and Video-Based Biometric Person Authentication, Crans-Montana, Switzerland,March 1997.4 Karin Sobottka, Ioannis Pitas. A fully automatic approach to facial feature detection and tracking. In:AVBPA'97 Department of Informatics, University of Thessaloniki 540 06, Greece.
  • 45,David E Benn, Mark S Nixon, John N Carter. Robust eye centre extraction using the hough transform. In:AVBPA'97 Department of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO171BJ,England.

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