A Study on Improved Real-Time Eye Region Detection Method for More Realistic Facial Expressions Recognition



Many 3D films use technologies of facial expression recognition. In order to use the existing technologies, a large number of markers shall be attached to a face, a camera is fixed in front of the face, and movements of the markers are calculated. However, the markers calculate only the changes in regions where the markers are attached, which makes difficult realistic recognition of facial expressions. Therefore, this study extracted a preliminary eye region in 320*240 by defining specific location values of the eye. And the final eye region was selected from the preliminary region. This study suggests an improved method of detecting an eye region, reducing errors arising from noise.




Feng Xiong




S. Jung and S. Kim, "A Study on Improved Real-Time Eye Region Detection Method for More Realistic Facial Expressions Recognition", Advanced Materials Research, Vols. 268-270, pp. 471-475, 2011


July 2011




[1] T. Kawaguchi, and M. Rizon: Iris detection using intensity and edge information, Pattern Recognition Vol. 36(2003), pp.549-562.

DOI: https://doi.org/10.1016/s0031-3203(02)00066-3

[2] J. Song, Z. Chi, and J. Liu: A robust eye detection method using combined binary edge and intensity information, Pattern Recognition Vol. 39(2006), pp.1110-1125.

DOI: https://doi.org/10.1016/j.patcog.2005.11.015

[3] R. Brunelli, and T. Poggio: Face recognition: features versus templates, IEEE Transaction on Pattern Analysis and Machine Intelligence Vol. 15(1993), pp.1042-1052.

DOI: https://doi.org/10.1109/34.254061

[4] Pentland, B. Moghaddam, and Thad Starner: View-based and modular eigenspaces for face recognition, IEEE Conference on Computer Vision and Pattern Recognition (1994), pp.84-91.

DOI: https://doi.org/10.1109/cvpr.1994.323814

[5] Fröba, and A. Ernst: Face- Detection with the Modified Census Transform, IEEE Conference on Automatic Face and Gesture Recognition(2004), pp.91-96.

DOI: https://doi.org/10.1109/afgr.2004.1301514

[6] R.L. Hsu, M. Abdel-Mottaleb: Face Detection in Color Images, IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 24(2002), pp.696-706.

DOI: https://doi.org/10.1109/34.1000242

[7] R.O. Duda and P.E. Hart: Pattern Recognition and Scene Analysis, New York: Wiley(1973).

[8] Costin-Anton Boiangiu, Bogdan Raducanu: Line detection techniques for automatic content conversion systems, WSEAS Transactions on Information Science and Applications Vol. 5(2008), pp.1200-1209.

[9] Fernandes, L.A.F. and Oliveira, M.M.: Real-time line detection through an improved Hough transform voting scheme, Pattern Recognition, Elsevier Vol. 41( 2008), pp.299-314.

DOI: https://doi.org/10.1016/j.patcog.2008.04.007

[10] S.M. Jung, S.S. Kim: A Study on M2M-based AR Multiple Objects Loading Technology using PPHT, 12th WSEAS International Conferece on AUTOMATIC CONTROL, MODELLING & SIMULARTION(2010), pp.420-424.