Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
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
Subspace Classification for Face Recognition
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
What is the set of images of an object under all possible lighting conditions?
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Comparing Images under Variable Illumination
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Illumination Cones for Recognition under Variable Lighting: Faces
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Robust image based 3d face recognition
Robust image based 3d face recognition
Segmented Linear Subspaces for Illumination-Robust Face Recognition
International Journal of Computer Vision
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A New Look at Filtering Techniques for Illumination Invariance in Automatic Face Recognition
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Weighted Sub-Gabor for face recognition
Pattern Recognition Letters
RegionBoost learning for 2D+3D based face recognition
Pattern Recognition Letters
Wavelet decomposition tree selection for palm and face authentication
Pattern Recognition Letters
An automated palmprint recognition system
Image and Vision Computing
Illumination invariant face recognition
Pattern Recognition
Enhanced local texture feature sets for face recognition under difficult lighting conditions
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Eigen-harmonics faces: face recognition under generic lighting
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face recognition under varying lighting conditions using self quotient image
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A one-parameter filled function method applied to nonsmooth constrained global optimization
Computers & Mathematics with Applications
Comparing and combining lighting insensitive approaches for face recognition
Computer Vision and Image Understanding
The complete gabor-fisher classifier for robust face recognition
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Novel mean-shift based histogram equalization using textured regions
Expert Systems with Applications: An International Journal
Weighted Modular Image Principal Component Analysis for face recognition
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
In this paper the problem of face recognition under variable illumination conditions is considered. Most of the works in the literature exhibit good performance under strictly controlled acquisition conditions, but the performance drastically drop when changes in pose and illumination occur, so that recently a number of approaches have been proposed to deal with such variability. The aim of this work is twofold: first a survey on the existing techniques proposed to obtain an illumination robust recognition is given, and then a new method, based on the fusion of different classifiers, is proposed. The experiments carried out on different face databases confirm the effectiveness of the approach.