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Single sample per person face recognition algorithm based on the robust  prototype dictionary and robust variation dictionary construction - Xue -  2022 - IET Image Processing - Wiley Online Library
Single sample per person face recognition algorithm based on the robust prototype dictionary and robust variation dictionary construction - Xue - 2022 - IET Image Processing - Wiley Online Library

Advances of Robust Subspace Face Recognition | IntechOpen
Advances of Robust Subspace Face Recognition | IntechOpen

Sample images of a AR face database, b Extended Yale B face database, c...  | Download Scientific Diagram
Sample images of a AR face database, b Extended Yale B face database, c... | Download Scientific Diagram

Face Recognition with Occlusions in the Training and Testing Sets
Face Recognition with Occlusions in the Training and Testing Sets

GitHub - bioidiap/bob.db.arface: AR Face Database Interface for Bob -  Mirrored from https://gitlab.idiap.ch/bob/bob.db.arface
GitHub - bioidiap/bob.db.arface: AR Face Database Interface for Bob - Mirrored from https://gitlab.idiap.ch/bob/bob.db.arface

Sample images of one person from the AR face database. | Download  Scientific Diagram
Sample images of one person from the AR face database. | Download Scientific Diagram

Images of one subject in the AR-face database. First 13 images (a)-(m)... |  Download Scientific Diagram
Images of one subject in the AR-face database. First 13 images (a)-(m)... | Download Scientific Diagram

A Comprehensive Study on Loss Functions for Cross-Factor Face Recognition
A Comprehensive Study on Loss Functions for Cross-Factor Face Recognition

image - AR face database : The original conversion of .raw files into other  format - Stack Overflow
image - AR face database : The original conversion of .raw files into other format - Stack Overflow

Image samples from the AR face database. | Download Scientific Diagram
Image samples from the AR face database. | Download Scientific Diagram

Some images of AR face database | Download Scientific Diagram
Some images of AR face database | Download Scientific Diagram

Eight Years of Face Recognition Research: Reproducibility, Achievements and  Open Issues
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues

Applied Sciences | Free Full-Text | Multi-Descriptor Random Sampling for  Patch-Based Face Recognition
Applied Sciences | Free Full-Text | Multi-Descriptor Random Sampling for Patch-Based Face Recognition

Image processing and Computer Vision Group
Image processing and Computer Vision Group

The AR Face Database
The AR Face Database

Sample images from the AR face database | Download Scientific Diagram
Sample images from the AR face database | Download Scientific Diagram

AR Face Database 22pt Markup
AR Face Database 22pt Markup

Images of an individual from the AR face database. | Download Scientific  Diagram
Images of an individual from the AR face database. | Download Scientific Diagram

Publications | Colour group
Publications | Colour group

A Fechner multiscale local descriptor for face recognition | SpringerLink
A Fechner multiscale local descriptor for face recognition | SpringerLink

Kernel difference maximisation‐based sparse representation for more  accurate face recognition - Wu - 2020 - The Journal of Engineering - Wiley  Online Library
Kernel difference maximisation‐based sparse representation for more accurate face recognition - Wu - 2020 - The Journal of Engineering - Wiley Online Library

Example of one individual from the AR face database: (1) neutral, (2)... |  Download Scientific Diagram
Example of one individual from the AR face database: (1) neutral, (2)... | Download Scientific Diagram

Sensors | Free Full-Text | A Kernel Gabor-Based Weighted Region Covariance  Matrix for Face Recognition
Sensors | Free Full-Text | A Kernel Gabor-Based Weighted Region Covariance Matrix for Face Recognition

PDF] Past, Present, and Future of Face Recognition: A Review | Semantic  Scholar
PDF] Past, Present, and Future of Face Recognition: A Review | Semantic Scholar

Unsupervised Feature Selection Based on Low-Rank Regularized  Self-Representation
Unsupervised Feature Selection Based on Low-Rank Regularized Self-Representation