Abstract. In this paper we propose an algorithm that can easily be implemented on small form factor devices to perform illumination normalization in face images captured under vari...
The appearance of a face image is severely affected by illumination conditions that hinder the automatic face recognition process. To recognize faces under varying illuminations, ...
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
The accuracy of automated face recognition systems is greatly affected by intraclass variations between enrollment and identification stages. In particular, changes in lighting con...
This paper details a fully automated face authentication system using low-cost near infrared imaging. The image normalization step consists of eye center localization, scale corre...