Eye Location Based on Adaboost and Region Features

Abstract:

In this paper, we proposed a novel eye location method based on Adaboost and region features. Firstly, Haar features and Adaboost algorithm are used to extract the eye regions from a face image. Then, we highlight the characteristics of eyes to eye location. The method proposed have been tested in the CAS-PEAL-R1 database and CASIA NIR database separately, and the accuracy rate is 98.86% and 97.68%, which demonstrates the effectiveness of the method

• Periodical: Applied Mechanics and Materials (Volumes 143-144)
• Pages: 731-736
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.143-144.731
• Online since: December 2011
• Authors: Xiang De Zhang, Qing Song Tang, Hua Jin, Yue Qiu
• Keywords: Adaboost, Eye Location, Haar Feature, Regional Features

References

[1] Fan, Y.H., Ma, J.W.: ASM and Improved Algorithm for Facial Feature Location. Journal of Computer-aided Design and Computer Graphics, 11(2007) 1411-1415(In Chinese).

[2] Ma, Y., Ding, X.Q., Wang, Z.E.: Robust precise eye location under probabilistic framework. IEEE Automatic Face and Gesture Recognition, (2004) 339-344.

DOI: 10.1109/afgr.2004.1301554

[3] Sewisy, A.A., Leberl, F.: Detection Ellipse by Finding Lines of Symmetry in the Images Via an Hough Transform Applied to Straight lines. Image and Vision Computing, 19(2001): 857-866.

DOI: 10.1016/s0262-8856(01)00049-x

[4] Zhang, B.Z., Ruan, Q.Q.: Facial Feature Extraction Using Improved Deformable Templates. IEEE Signal Processing (20006).

DOI: 10.1109/icosp.2006.345929

[5] Viola, P., Jones, M.: Robust Real-Time Object Detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2002).

[6] Li, S.Z., Zhang, Z.Q.: FloatBoost Learning and Statistical Face Detection. IEEE Transactions on pattern analysis and machine intelligence, 26 (2004) : 1112-1123.

DOI: 10.1109/tpami.2004.68

[7] Wang, Q., Yang, J.Y.: Eye Detection in Facial Images with Unconstrained Background. Journal of Pattern Recognition Research, (2006) 55-62.

DOI: 10.13176/11.15

[8] Park, C.W., Kwak, J.M., Park, H., et al: An Effective Method for Eye Detection based on Texture Information. Convergence Information Technology. (2007)586-589.

DOI: 10.1109/iccit.2007.288

[9] Li, K., Yan, H.: Eyes Location based on Dual-orientation Gabor Filters and Templates. Image and Signal Processing. (2009) 1-4.

DOI: 10.1109/cisp.2009.5305711

[10] Oliver, J., Klaus, J.K., Robert, W.F.: Robust Face Detection Using the Hausdorff Distance. Springer-Verlag Berlin Heidelberg, (2001)90-95.

[11] Li, S.Z., Chu, R.F., Liao, S.C., et al: Illumination Invariant Face Recognition Using Near-Infrared Images. IEEE Transactions on pattern analysis and machine intelligence, 4(2007): 1-13.

DOI: 10.1109/tpami.2007.1014

[12] Wang, J.F., Qian, Y., Tong, W.Q.: Eyes Detection Based on Adaboost Algorithm. Modern Computer, 9(2009) 73-75 (In Chinese).