Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Representing image matrices: eigenimages versus eigenvectors
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
(2D)2LDA: An efficient approach for face recognition
Pattern Recognition
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Matrix-pattern-oriented least squares support vector classifier with AdaBoost
Pattern Recognition Letters
2D Gaborface representation method for face recognition with ensemble and multichannel model
Image and Vision Computing
Palmprint recognition with improved two-dimensional locality preserving projections
Image and Vision Computing
3D Animation Compression Using Affine Transformation Matrix and Principal Component Analysis
IEICE - Transactions on Information and Systems
Face Image Recognition Combining Holistic and Local Features
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
An Integrated System of Face Recognition
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Appearance based recognition methodology for recognising fingerspelling alphabets
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Fast image compression based on (2D)2 PCA
CSNA '07 Proceedings of the IASTED International Conference on Communication Systems, Networks, and Applications
Two-dimensional maximum margin feature extraction for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
A feature extraction method for use with bimodal biometrics
Pattern Recognition
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
(2D)2PCA-ICA: a new approach for face representation and recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Road sign recognition using spatial dimension reduction methods based on PCA and SVMs
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Face virtual pose generation using aligned locally linear regression for face recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Empirical study of light source selection for palmprint recognition
Pattern Recognition Letters
Letters: Laplacian bidirectional PCA for face recognition
Neurocomputing
Studies on hyperspectral face recognition in visible spectrum with feature band selection
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Feature level fusion of multi-instance finger knuckle print for person identification
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Face recognition using Zernike and complex Zernike moment features
Pattern Recognition and Image Analysis
ICCSA'11 Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V
Matrix pattern based minimum within-class scatter support vector machines
Applied Soft Computing
Palmprint verification using GridPCA for Gabor features
Proceedings of the Second Symposium on Information and Communication Technology
Recognizing face or object from a single image: linear vs. kernel methods on 2d patterns
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Block principal component analysis with L1-norm for image analysis
Pattern Recognition Letters
Application of wave atoms decomposition and extreme learning machine for fingerprint classification
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Probabilistic learning of similarity measures for tensor PCA
Pattern Recognition Letters
Survey: Subspace methods for face recognition
Computer Science Review
Ordinal preserving projection: a novel dimensionality reduction method for image ranking
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Separable linear discriminant analysis
Computational Statistics & Data Analysis
GridLDA of Gabor wavelet features for palmprint identification
Proceedings of the Third Symposium on Information and Communication Technology
Fusion of bidirectional image matrices and 2D-LDA: an efficient approach for face recognition
Proceedings of the Third Symposium on Information and Communication Technology
A unified view of two-dimensional principal component analyses
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Discriminative Zernike and Pseudo Zernike Moments for Face Recognition
International Journal of Computer Vision and Image Processing
Defect cluster recognition system for fabricated semiconductor wafers
Engineering Applications of Artificial Intelligence
Face recognition with enhanced local directional patterns
Neurocomputing
On approaching 2D-FPCA technique to improve image representation in frequency domain
Proceedings of the Fourth Symposium on Information and Communication Technology
Multi-linear neighborhood preserving projection for face recognition
Pattern Recognition
A Comprehensive Survey to Face Hallucination
International Journal of Computer Vision
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Recently, a new technique called two-dimensional principal component analysis (2DPCA) was proposed for face representation and recognition. The main idea behind 2DPCA is that it is based on 2D matrices as opposed to the standard PCA, which is based on 1D vectors. Although 2DPCA obtains higher recognition accuracy than PCA, a vital unresolved problem of 2DPCA is that it needs many more coefficients for image representation than PCA. In this paper, we first indicate that 2DPCA is essentially working in the row direction of images, and then propose an alternative 2DPCA which is working in the column direction of images. By simultaneously considering the row and column directions, we develop the two-directional 2DPCA, i.e. (2D)^2PCA, for efficient face representation and recognition. Experimental results on ORL and a subset of FERET face databases show that (2D)^2PCA achieves the same or even higher recognition accuracy than 2DPCA, while the former needs a much reduced coefficient set for image representation than the latter.