Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Efficient illumination normalization of facial images
Pattern Recognition Letters
Face Recognition: The Problem of Compensating for Changes in Illumination Direction
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Limitations of Non Model-Based Recognition Schemes
ECCV '92 Proceedings of the Second European Conference on Computer Vision
In search of illumination invariants
In search of illumination invariants
Local Discriminant Wavelet Packet Coordinates for Face Recognition
The Journal of Machine Learning Research
Extraction of Illumination-Invariant Features in Face Recognition by Empirical Mode Decomposition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Texture analysis based on saddle points-based BEMD and LBP
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
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The performance of face recognition system is greatly affected by the illumination changes. In this article, we propose a method of face illumination compensation based on neural network and wavelet. It sufficiently combines multi-resolution analysis of wavelet and the selfadaptation learning and good spread ability of BP neural network, thus this method carries out the face illumination compensation. The theory and experiments prove that this method solves the problem of illumination compensation efficiently in the face detection and recognition process. It improves the face detection and recognition under different illumination conditions. Moreover, it has good robustness and can be used in a wide range.