期刊文献+

正面人脸图像中眼睛的定位算法 被引量:6

Eye Locating Algorithm for Frontal View Face Image
下载PDF
导出
摘要 简单有效的投影函数广泛用于眼睛定位中,然而成像产生的反光亮点降低了该方法的准确率,为此提出一种正面人脸图像中眼睛定位的算法.考虑到反光亮点对成像的影响,首先定义了3种眼睛成像模型,分析了每个模型的投影曲线特点;然后针对每个模型给出了相应的定位方法;最后综合上述3种模型提出了统一的定位算法.利用标准模型的投影曲线可近似为对称抛物线型的特点来降低亮点对眼睛定位精度的影响.实验结果表明,利用文中算法能够准确地定位眼睛的位置,准确率大于93%. Projection function is widely used in eye detection for its simplicity and effectivity; however, the specular spots caused by light reflection reduce its accurate detection rate. This paper presents an eye locating algorithm for frontal-view face image to solve this problem. Considering the specular spots in the images, firstly, three eye imaging models are defined and their projection curves are analyzed. Secondly, the detection method for each model is described. Finally, these three models are combined and a unified detection algorithm is proposed. As the shape of standard model's projection curve is symmetric parabola, it is utilized to eliminate the specular spots' influence. Experimental results show that our method can accurately detect eye positions, and the accurate detection rate is over 93%.
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2009年第6期763-769,共7页 Journal of Computer-Aided Design & Computer Graphics
基金 国家"八六三"高技术研究发展计划(2007AA01Z341)
关键词 眼睛定位 投影函数 眼睛成像模型 eye localization projection function eye imaging model
  • 相关文献

参考文献8

  • 1Kawaguchi T, Hidaka D, Rizon M. Detection of eyes from human faces by Hough transform and separability filter [C] //Proceedings of the 7th IEEE International Conference on Image Processing, Vancouver, 2000:49-52
  • 2Khosravi M H, Safabakhsh R. Human eye sclera detection and tracking using a modified time-adaptive self organizing map[J]. Pattern Recognition, 2008, 41(8): 2571-2593
  • 3唐旭晟,欧宗瑛,苏铁明,赵鹏飞.复杂背景下人眼的快速定位[J].计算机辅助设计与图形学学报,2006,18(10):1535-1540. 被引量:14
  • 4Zheng Z L, Yang J, Yang L M. A robust method for eye features extraction on color image [J]. Pattern Recognition Letters, 2005, 26(14): 2252-2261
  • 5Feng G C, Yuen P C. Variance projection function and its application to eye detection for human face recognition [J]. Pattern Recognition Letters, 1998, 19(9): 899-906
  • 6Zhou Z H, Geng X. Projection functions for eye detection [J]. Pattern Recognition, 2004, 37(5): 1049-1056
  • 7耿新,周志华,陈世福.基于混合投影函数的眼睛定位[J].软件学报,2003,14(8):1394-1400. 被引量:78
  • 8Ahlberg J. A system for face localization and facial feature extraction [R]. Linkoping: Linkoping University, 1999

二级参考文献27

  • 1宋加涛,刘济林,池哲儒,王蔚.人脸正面图像中眼睛的精确定位[J].计算机辅助设计与图形学学报,2005,17(3):540-545. 被引量:13
  • 2Brunelli R, Poggio T. Face recognition: Features versus templates. IEEE Transactions on Pattern Analysis and Machine Intelligence,1993,15(10):1042-1052.
  • 3Yang MH, Kriegman DJ, Ahuja N. Detecting faces in images: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002,24(1):34-58.
  • 4Bala J, DeJong K, Huang J, Vafaie H, Wechsler H. Visual routine for eye detection using hybrid genetic architectures. In: Backer E,Gelsema ES, eds. Proceedings of the 13th International Conference on Pattern Recognition. Los Alamitos: IEEE CS Press,1996,3:606-610.
  • 5Reinders MJT, Koch RWC, Gerbrands JJ. Locating facial features in image sequences using neural networks. In Essa I, ed.Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition Los Alamitos: IEEE CS Press, 1996.230--235.
  • 6Wu JX, Zhou ZH. Efficient face candidates selector for face detection. Pattern Recognition, 2003,36(5):1175-1186.
  • 7Kanade T. Picture processing by computer complex and recognition of human faces [Ph.D. Thesis]. Kyoto: Kyoto University, 1973.
  • 8Feng GC, Yuen PC. Variance projection function and its application to eye detection for human face recognition. Pattern Recognition Letters, 1998,19(9):899-906.
  • 9Feng GC, Yuen PC. Multi cues eye detection on gray intensity image. Pattern Recognition, 2001,34(5):1033-1046.
  • 10Alattar AM, Rajala SA. Facial features localization in front view head and shoulders images. In: Rodrignez J, ed. 1999 IEEE International Conference on Acoustics, Speech and Signal Processing (Icassp). Los Alamitos: IEEE CS Press, 1999,6:3557-3560.

共引文献88

同被引文献59

  • 1黄桂平,李广云,王保丰,叶声华.单目视觉测量技术研究[J].计量学报,2004,25(4):314-317. 被引量:91
  • 2李武军,王崇骏,张炜,陈世福.人脸识别研究综述[J].模式识别与人工智能,2006,19(1):58-66. 被引量:106
  • 3Baron-Cohen S. How to build a baby that can read minds: cognitive mechanisms in mind reading [J]. Current Psychology of Cognition, 1994, 13(5) : 513-552.
  • 4Villanueva A, Cabeza R. A novel gaze estimation system with one calibration point [J]. IEEE Transactions on Systems, Man, and Cybernetics--Part B: Cybernetics, 2008, 38(4): 1123-1138.
  • 5Ko Y J, Lee E C, Park K R. A robust gaze detection method by compensating for facial movements based on corneal specularities [J]. Pattern Recognition Letters, 2008, 29(10) : 1474-1485.
  • 6Bhatia N, Chhabra M. Improved Hough transform for fast iris detection [C] //Proceedings of the 2nd International Conference on Signal Processing Systems. Los Alamitos: IEEE Computer Society Press, 2010:172-176.
  • 7Perez C A, Aravena C M, Vallejos J I, et al. Face and iris localization using templates designed by particle swarm optimization [J].Pattern Recognition Letters, 2010, 31(9), 857-868.
  • 8Moriyama T, Kanade T, Xiao Jing, et al. Meticulously detailed eye region model and its application to analysis of facial images [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(5): 738-752.
  • 9Torricelli D, Conforto S, Schmid M, et al. A neural-based remote eye gaze tracker under natural head motion [J]. Computer Methods and Programs in Biomedicine, 2008, 92 (1) : 66-78.
  • 10Cootes T F, Hill A, Taylor C J, et al. The use of active shape models for locating structures in medical images [J].hnage and Vision Computing, 1994, 12(6): 355-366.

引证文献6

二级引证文献15

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