Face recognition using multiple image view line segments

Describes an image-based face recognition technique using line segments of 2D image views that achieves high generalisation recognition rates for rotations both in and out of the plane, is invariant to scaling, and has reduced execution times. Results show that the algorithm is superior compared with benchmark algorithms and is able to recognise test views in quasi real-time.

[1]  Andy Harter,et al.  Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[2]  Olivier Y. de Vel,et al.  View-based object recognition using image lines , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[3]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[4]  Horst Bunke,et al.  Combination of face classifiers for person identification , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[5]  Takeo Kanade,et al.  Picture Processing System by Computer Complex and Recognition of Human Faces , 1974 .