Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Multi-View Face Alignment Using Direct Appearance Models
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
Real-time View-based Face Alignment using Active Wavelet Networks
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Robust Real-Time Face Detection
International Journal of Computer Vision
Active Appearance Models Revisited
International Journal of Computer Vision
A Bayesian Mixture Model for Multi-View Face Alignment
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Regression and Classification Approaches to Eye Localization in Face Images
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Journal of Cognitive Neuroscience
Fast solvers and efficient implementations for distance metric learning
Proceedings of the 25th international conference on Machine learning
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition across pose: A review
Pattern Recognition
Distance Metric Learning for Large Margin Nearest Neighbor Classification
The Journal of Machine Learning Research
Probing the Pareto Frontier for Basis Pursuit Solutions
SIAM Journal on Scientific Computing
Subspace pursuit for compressive sensing signal reconstruction
IEEE Transactions on Information Theory
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Clustering appearances of objects under varying illumination conditions
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Bayesian tangent shape model: Estimating shape and pose parameters via bayesian inference
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Face alignment using statistical models and wavelet features
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity scores based on background samples
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Joint face alignment with a generic deformable face model
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Information Theory
RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deterministic compressed sensing
Deterministic compressed sensing
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We propose a scalable solution to the problem of real-world face recognition when both training and test faces are under varying pose and illumination. Our proposed classifier solves a sparse approximation problem in a learned transform domain. Our algorithm uses a cascaded solution to significantly reduce the computational cost of the classification process. The cascaded solution first applies a more efficient Subspace Pursuit Algorithm on the test image, and only runs a more accurate ℓ1-minimization algorithm on those face images for which the Subspace Pursuit does not have enough confidence in prediction. We also show the application of our algorithm in automatic face annotation of media objects, and show that on average our algorithm achieves about 94% annotation accuracy over the celebrity benchmark dataset.