期刊文献+

一种复杂光照条件下的人眼定位方法研究

Research on Human Eye Location Method Under Complex Illumination
下载PDF
导出
摘要 在复杂的光照条件下人脸表面的光分布不规律,会出现局部过亮、过暗和反光等情况,会影响人眼定位的准确性。为了提高在复杂光照影响下人眼定位的准确率,本文提出一种先定位人脸再定位人眼的方案。首先采用Haar-like特征的Ada Boost级联分类器检测出人脸区域,对所得人脸部分进行自适应连续均值量化变换增强,然后结合连通域的分析对人眼进行定位。实验结果表明,该方法运算速度快,定位效果好。 In complex illumination, the uneven distribution of light on the face may lead to bright, dark or re- flection on part of the face image, which then subsequently brings about great impact on eye location. In order to improve the positioning accuracy of the human eye under complex illumination, the paper proposes a method which in the first place locates the face and then the eyes. The face can be detected based on Haar feature of Ada boosted cascade classifier. The face region is enhanced by the adaptive continuous mean quantization transform image enhancement algorithm. Then the eyes can be positioned by combining with the connected domain analysis. The results show that the proposed method has high detection speed and good results.
作者 柳秀秀
机构地区 江西理工大学
出处 《科技广场》 2015年第12期6-9,共4页 Science Mosaic
关键词 复杂光照 人眼定位 ADA BOOST 自适应连续均值量化变换 Complex Illumination Eye Location Ada Boost Self-Adaptive Successive Mean Quantization Transform
  • 相关文献

参考文献10

  • 1Samal A,Iyengar P A.Automatic recognition and analysis for hu-man faces and facial expressions: a survey[J].Pattern Recogni-tion, 1992,25 (01 ) : 65-77.
  • 2Hafed Z M,Levine M D. Face recognition using the discrete cosinetransform [J]. International Journal of Computer Vision, 2001,43 (03) : 167-188.
  • 3梁路宏,艾海舟,何克忠.基于多模板匹配的单人脸检测[J].中国图象图形学报(A辑),1999,4(10):825-830. 被引量:88
  • 4史进伟,郭朝勇,刘红宁,乔坤.基于Hough变换和双峰法的枪弹外观缺陷提取[J].火力与指挥控制,2013,38(5):129-132. 被引量:7
  • 5徐正光,鲍东来,张利欣.基于递归的二值图像连通域像素标记算法[J].计算机工程,2006,32(24):186-188. 被引量:71
  • 6Viola P,Jones M.Robust real-time object de- tection,TR CRL2001/01 [R].Cambridge,UK:Cam- bridge Research Laboratory, 2001.
  • 7Freund Y,Schapire R E.A decision-theoretic generalization ofonline learning and an application to boosting [J]. Journal of Computer and System Sci- ences, 1997, (01) :55-119.
  • 8Lienhart R,Kuranov A,Pisarcvsky V.Empiri- cal analysis of detec-tion cascades of boosted classi- fiers for rapid object detection [C].Proceedings of the 25th German Pattern Recognition Sympo-sium, Magdeburg, 2003.
  • 9M.Nilsson, M.Dahl, I.Claesson.Thesuccessive- meanquantizationtransform [C]. IEEE International Conference on Acoustics, Speech and Signal Process- ing (ICASSP), 2005, (04) : 429-432.
  • 10M.Nilsson. Face Detection Using Local SMQT Features and Split up SNOW Classifier[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ,2007, (02) :589-592.

二级参考文献18

共引文献162

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部