Application of Masking and Ellipse Fitting in Pupil Localization

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Abstract:

The human eyes feature plays an important role in the human face feature extraction and the human face recognition. It can be used to correct the human face posture and locate the other face key features by the coordinates of the eyes on the human face. In this paper, we train the human eyes detection cascade strong classifier which be used to detect the human eyes position on the human face , and then locate the pupil center position by making use of the ellipse fitting algorithm and the human eyes mask templates. The experimental results show that these algorithms which be used in this paper can accurately locate the pupil center position.

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Advanced Materials Research (Volumes 798-799)

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614-619

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ebisawa, Y. Satoh, S. -i. Effectiveness of pupil area detection technique using two light sources and image difference method[C]. Proceedings of the in Medicine and Biology Society, San Diego, CA, pp. 15th Annual Int. Conf. of the IEEE. 1268-1269, (1993).

DOI: 10.1109/iembs.1993.979129

Google Scholar

[2] Ebisawa Y . Improved video-based eye-gaze detection method[J], IEEE Transcations on instrumentation and Measruement. 1998, vol. 47 (2) 948-955.

DOI: 10.1109/19.744648

Google Scholar

[3] Yuille A., Hallinan P and Cohen D. Feature extraction from faces using deformable templates [J], International Journal of Computer Vision 1992, 8 (2), 99-111.

DOI: 10.1007/bf00127169

Google Scholar

[4] Xie X., Sudhakar R. and Zhuang H. On improving eye feature extraction using deformable templates [J], Pattern Recognition 1994, vol. 27, 791-799.

DOI: 10.1016/0031-3203(94)90164-3

Google Scholar

[5] Lam K, Yan H. Locating and extracting the eye in human face images [J], Pattern Recognition, 1996, vol. 29, 771-779.

DOI: 10.1016/0031-3203(95)00119-0

Google Scholar

[6] Pentland A., Moghaddam B. and Stamen T. View-based and modular eigenspaces for face recognition[C], Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'94), Seattle, 84-91, (1994).

DOI: 10.1109/cvpr.1994.323814

Google Scholar

[7] Huang W. M,Mariani R. Face detection and precise eyes location[C], Proceedings of the International Conference on Pattern Recognition (ICPR'00), 722-727, (2000).

DOI: 10.1109/icpr.2000.903019

Google Scholar

[8] Feng G.C., Yuen P C. Variance projection function and its application to eye detection for human face recognition [J], Int. J. Comput. Vis. Vol. 19, 899-906, (1998).

DOI: 10.1016/s0167-8655(98)00065-8

Google Scholar