From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surveillance Sensor Systems Using CMOS Imagers
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
A comparison of subspace analysis for face recognition
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Motion compensation for face recognition based on active differential imaging
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Outdoor face recognition using enhanced near infrared imaging
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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This paper describes an association of original hardware solutions associated to adequate software software for human face recognition. A differential CMOS imaging system [1] and a Synchronized flash camera [2] have been developed to provide ambient light invariant images and facilitate segmentation of the face from the background. This invariance of face image demonstrated by our prototype camera systems can result in a significant software/hardware simplification in such biometrics applications especially on a mobile platform where the computation power and memory capacity are both limited. In order to evaluate our prototypes we have build a face database of 25 persons with 4 different illumination conditions. These solutions with appropriate cameras give a significant improvement in performance (on the normal CCD cameras) using a simple correlation based algorithm associated with an adequate preprocessing. Finally, we have obtained a promising results using fusion between different sensors.