Authenticating corrupted face image based on noise model

Authors:
Ho-Choul Jung;Bon-Woo Hwang;Seong-Whan Lee
Affiliations:
Center for Artificial Vision Research, Department of Computer Science and Engineering, Korea University, Seoul, Korea;VirtualMedia, Inc., Seoul, Korea;Center for Artificial Vision Research, Department of Computer Science and Engineering, Korea University, Seoul, Korea
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

Citing 12
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Abstract

In this paper, we propose a method for authenticating corrupted face images based on noise model. The proposed method first generates corrupted images by controlling noise parameters in the training phase. The corrupted images and noise parameters are represented by a linear combination of prototypes of the corrupted images and the noise parameters. With the corrupted image and an original image, we can estimate noise parameters of the corrupted face image in the testing phase. Then, we can make a synthesized face image from the original face image with the estimated noise parameters and verify it with the corrupted face image. Our experimental results show that the proposed method can estimate noise parameters accurately and improve the performance of face authentication.