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Pattern recognition letters, ISSN 0167-8655, 2007, Volume 28, Issue 14, pp. 1885 - 1906
Government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously... 
2D/3D face recognition | Face databases | SAMPLE | MODELS | ILLUMINATION | REPRESENTATION | EIGENFACES | face databases | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PCA | Surveys | Algorithms | Security systems | Biometry
Journal Article
Image and vision computing, ISSN 0262-8856, 2010, Volume 28, Issue 5, pp. 807 - 813
Journal Article
Pattern recognition letters, ISSN 0167-8655, 2002, Volume 23, Issue 14, pp. 1711 - 1719
At present there are many methods that could deal well with frontal view face recognition. However, most of them cannot work well when there is only one... 
Pattern recognition | Face recognition | Face identification | Principal component analysis | Eigenface | face identification | face recognition | EIGENFACES | eigenface | principal component analysis | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | pattern recognition
Journal Article
Expert systems with applications, ISSN 0957-4174, 2015, Volume 42, Issue 21, pp. 7905 - 7916
Journal Article
Pattern recognition, ISSN 0031-3203, 07/2013, Volume 46, Issue 7, pp. 1865 - 1878
By representing the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based... 
Sparse representation | Collaborative representation | Robust face recognition | Gabor occlusion dictionary | EIGENFACES | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Biometry | Feature based | Occlusion | Dictionaries | Coding | Classification | Images | Minimization | Representations
Journal Article
Pattern recognition, ISSN 0031-3203, 2000, Volume 33, Issue 10, pp. 1713 - 1726
A new LDA-based face recognition system is presented in this paper. Linear discriminant analysis (LDA) is one of the most popular linear projection techniques... 
Feature extraction | Linear discriminant analysis | Face recognition | Linear algebra | DISCRIMINANT | feature extraction | face recognition | EIGENFACES | linear discriminant analysis | linear algebra | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Pattern recognition, ISSN 0031-3203, 04/2017, Volume 64, pp. 51 - 59
In sparse dictionary learning based face recognition (FR), a discriminative dictionary is learned from the training set so that good classification performance... 
Face recognition | Sparse embedded | Dictionary learning | REPRESENTATION | K-SVD | EIGENFACES | DISCRIMINATIVE DICTIONARY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Biometry | Machine learning
Journal Article
IEEE transaction on neural networks and learning systems, ISSN 2162-2388, 2016, Volume 27, Issue 11, pp. 2160 - 2173
Journal Article
Computers in industry, ISSN 0166-3615, 2018, Volume 98, pp. 145 - 152
•Face recognition for humans is a well-studied and proven biometric.•Precision agriculture requires individual animals to be identified reliably.•Current... 
Deep learning | Biometrics | Pig face recognition | Convolutional neural network | SYSTEM | AUTOMATIC DETECTION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | EIGENFACES | IDENTIFICATION | TECHNOLOGY | Livestock industry | Usage | Pork industry | Machine vision | Neural networks | Cattle | Analysis | Agriculture | Livestock | Biometry
Journal Article
Pattern recognition, ISSN 0031-3203, 12/2014, Volume 47, Issue 12, pp. 3738 - 3749
We develop a parameter-free face recognition algorithm which is insensitive to large variations in lighting, expression, occlusion, and age using a single... 
One sample problem | Feature extraction | Generic learning | Face recognition | Linear regression | ROBUST | ILLUMINATION | REPRESENTATION | EIGENFACES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PCA | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Biometry | Algorithms
Journal Article
Pattern recognition letters, ISSN 0167-8655, 05/2018, Volume 107, pp. 75 - 82
•A novel subspace learning method for multiview data called Multiview Max-Margin Subspace Learning is proposed.•Same-class samples will be clustered together... 
Subspace learning | Gait recognition | Transform matrices | FRAMEWORK | EIGENFACES | PERSON RECOGNITION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Biometry
Journal Article
Computer vision and image understanding, ISSN 1077-3142, 2003, Volume 91, Issue 1-2, pp. 115 - 137
This paper compares principal component analysis (PCA) and independent component analysis (ICA) in the context of a baseline face recognition system, a... 
MAXIMUM-LIKELIHOOD | RECOGNITION | NATURAL SCENES | EIGENFACES | SEPARATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | INDEPENDENT COMPONENT ANALYSIS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Pattern recognition, ISSN 0031-3203, 2014, Volume 47, Issue 9, pp. 2807 - 2824
Journal Article
Pattern recognition, ISSN 0031-3203, 08/2017, Volume 68, pp. 286 - 294
•Our method simultaneously optimizes the projection matrix and mean in the criterion objective.•Our method directly considers the reconstruction errors of data... 
Dimensionality reduction | Optimized mean | F-norm | 2DPCA | L1-NORM | ROBUST | FACE RECOGNITION | EIGENFACES | TRANSFORM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article