Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
High breakdown estimation for multiple populations with applications to discriminant analysis
Journal of Multivariate Analysis
Robust computer vision: an interdisciplinary challenge
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Robust recognition using eigenimages
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Robust Linear and Support Vector Regression
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion of LDA and PCA for Face Verification
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Fisher Light-Fields for Face Recognition across Pose and Illumination
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A Framework for Robust Subspace Learning
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Discriminant Analysis of Principal Components for Face Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Combining classifiers for face recognition
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Journal of Cognitive Neuroscience
Classification in an informative sample subspace
Pattern Recognition
Robust adaptive modified Newton algorithm for generalized eigendecomposition and its application
EURASIP Journal on Advances in Signal Processing
Tracking by Hierarchical Representation of Target Structure
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Why Is Facial Occlusion a Challenging Problem?
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Representing images of a rotating object with cyclic permutation for view-based pose estimation
Computer Vision and Image Understanding
Face alignment by minimizing the closest classification distance
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Face identification using linear regression
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A Sparse Learning Machine for High-Dimensional Data with Application to Microarray Gene Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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
The Journal of Machine Learning Research
A multi-level supporting scheme for face recognition under partial occlusions and disguise
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Face classification via sparse approximation
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
A regularized correntropy framework for robust pattern recognition
Neural Computation
Robust regression for face recognition
Pattern Recognition
Investigation of supervised dimensionality reduction methods for phonetic classification
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A Comparative Study of Palmprint Recognition Algorithms
ACM Computing Surveys (CSUR)
Extracting non-negative basis images using pixel dispersion penalty
Pattern Recognition
Face recognition system robust to occlusion
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Learning kernel subspace classifier
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Robust spectral regression for face recognition
Neurocomputing
Linear reconstruction measure steered nearest neighbor classification framework
Pattern Recognition
| Hi-index | 0.14 |
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often appear in the visual data. Discriminative methods, such as LDA, which, on the other hand, are better suited for classification tasks, are highly sensitive to corrupted data. We present a theoretical framework for achieving the best of both types of methods: An approach that combines the discrimination power of discriminative methods with the reconstruction property of reconstructive methods which enables one to work on subsets of pixels in images to efficiently detect and reject the outliers. The proposed approach is therefore capable of robust classification with a high-breakdown point. We also show that subspace methods, such as CCA, which are used for solving regression tasks, can be treated in a similar manner. The theoretical results are demonstrated on several computer vision tasks showing that the proposed approach significantly outperforms the standard discriminative methods in the case of missing pixels and images containing occlusions and outliers.