Abstract
A novel approach for pupil center location is presented in the paper. It is based on the hypothesis that both of pupil centers are of symmetry about a perpendicular bisector of a face, and uses the center of the face region detected and one of the eye region located to determine another unknown pupil center. To reduce the effect that the center of the face region detected deviates from the perpendicular bisector, the center of the face region is disturbed and two constraints, i.e. radial and angular, are used. Thus the pupil center candidates are obtained. Then peak detection, modified least trimmed squares, and PCA-reconstruction-error-minimum are used to select the optimal one. Experimental results show that the approach can be used for pupil center location of faces under pose variations.
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Zhang, G., Chen, J., Su, G., Su, Y. (2014). An Approach for Pupil Center Location Using Facial Symmetry. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_9
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DOI: https://doi.org/10.1007/978-3-319-12484-1_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12483-4
Online ISBN: 978-3-319-12484-1
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