[1]
Sobottka K., Pitas I. A fully automatic approach to facial feature detection and tracking[C] . First International Conference on Audio- and Video- based Biometric Person Authentication , Crans-Montana , Switzerland , 12 - 14 March (1997).
DOI: 10.1007/bfb0015982
Google Scholar
[2]
Hob P, Poggio T. Face recognition with support vector machines : global versus component- based approach[J ] . International Conference on Computer Vision ( ICCV'01) , 2001 (2) : 688 - 694.
DOI: 10.1109/iccv.2001.937693
Google Scholar
[3]
Lam K M, Yan H. Locating and extracting the eyes in human face images [ J ] . Pattern Recognition , 1996 , 29(5) : 771 - 779.
DOI: 10.1016/0031-3203(95)00119-0
Google Scholar
[4]
Feng G C , Yuen P C. Multi-cues eye detection on gray intensity image [J ] . Pattern Recognition, 2001 , 34 (5) : 1033 - 1046.
DOI: 10.1016/s0031-3203(00)00042-x
Google Scholar
[5]
Cai J., Goshtasby A. Detecting face in color images.Image and Vision Computing[J], 1999, 18(1): 63-75.
Google Scholar
[6]
Kawaguchi T, Hikada D, Rizon M. Detection of the eyes from human faces by Hough transform and separability filter [C]. Proceedings of IEEE International Conference on Image Processing Vancouver , BC: IEEE Computer Society , 2000 : 49 - 52.
DOI: 10.1109/icip.2000.900889
Google Scholar
[7]
Song Jia-tao, Liu Ji-lin, Chi Zhe-ru, Wang Wei. Precisely Locating Human Eyes from Front-View Face Images[J]. JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS, 2005, 17(3): 540-545.
Google Scholar
[8]
P. Kovesi. Image Features From Phase Congruency. Videre: A Journal of Computer Vision Research. MIT Press. Vol. 1, No. 3, (1999).
Google Scholar