Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: The Problem of Compensating for Changes in Illumination Direction
IEEE Transactions on Pattern Analysis and Machine Intelligence
What Is the Set of Images of an Object Under All Possible Illumination Conditions?
International Journal of Computer Vision
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Looking at People: Sensing for Ubiquitous and Wearable Computing
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Support Vector Regression and Classification Based Multi-View Face Detection and Recognition
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Journal of Cognitive Neuroscience
A signal-processing framework for reflection
ACM Transactions on Graphics (TOG)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Imaging - Special issue on multi-dimensional image processing
Total Variation Models for Variable Lighting Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance Sampling of Real Objects for Variable Illumination
International Journal of Computer Vision
Pose-encoded spherical harmonics for face recognition and synthesis using a single image
EURASIP Journal on Advances in Signal Processing
Face Recognition in Color Using Complex and Hypercomplex Representations
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Active lighting for video conferencing
IEEE Transactions on Circuits and Systems for Video Technology
Face recognition under varying illumination using gradientfaces
IEEE Transactions on Image Processing
Robust face recognition using 2D and 3D data: Pose and illumination compensation
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
Face recognition based on binary template matching
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Illumination-robust face recognition using retina modeling
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Enhanced local texture feature sets for face recognition under difficult lighting conditions
IEEE Transactions on Image Processing
Linear projection methods in face recognition under unconstrained illuminations: a comparative study
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
Variable lighting face recognition using discrete wavelet transform
Pattern Recognition Letters
Molding face shapes by example
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
A practical face relighting method for directional lighting normalization
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Pose-encoded spherical harmonics for robust face recognition using a single image
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Face reconstruction across different poses and arbitrary illumination conditions
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Pose invariant face recognition under arbitrary illumination based on 3d face reconstruction
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Dynamic approach for face recognition using digital image skin correlation
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Face samples re-lighting for detection based on the harmonic images
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
A fast method of lighting estimate using multi-linear algebra
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
3D facial feature localization for registration
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Remote identification of faces: Problems, prospects, and progress
Pattern Recognition Letters
SVDD-based illumination compensation for face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3D shape information. Our method is based on the recent result [1] which demostrated that the set of images of a convex Lambertian object obtained under a wide variety of lighting conditions can be approximated accurately by a low-dimensional linear subspace. In this paper, we show that we can recover basis images spanning this space from just one image taken under arbitrary illumination conditions. First, using a bootstrap set consisting of 3D face models, we compute a statistical model for each basis image. During training, given a novel face image under arbitrary illumination, we recover a set of images for this face. We prove that these images are the set of basis images with maximum probability. During testing, we recognize the face for which there exists a weighted combination of basis images that is the closest to the test face image. We provide a series of experiments that achieve high recognition rates, under a wide range of illumination conditions, including multiple sources of illumination. Our method achieves comparable levels of accuracy with methods that have much more onerous training data requirements.