![PDF] Convolutional Neural Network for Face Recognition with Pose and Illumination Variation | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/670502c4fe0cddd1dd476ff8c157e5c62fec887d/7-Figure4-1.png "PDF] Convolutional Neural Network for Face Recognition with Pose and Illumination Variation | Semantic Scholar")
PDF] Convolutional Neural Network for Face Recognition with Pose and Illumination Variation | Semantic Scholar
Example of one individual from the AR face database: (1) neutral, (2)... | Download Scientific Diagram
The AR Face Database
Sample images from the AR face database | Download Scientific Diagram
AR Face Database (128x128)
GitHub - bioidiap/bob.db.arface: AR Face Database Interface for Bob - Mirrored from https://gitlab.idiap.ch/bob/bob.db.arface
Recovering variations in facial albedo from low resolution images - ScienceDirect
Kairos: 60 Facial Recognition Databases
Image samples from the AR face database. | Download Scientific Diagram
Sample images of one person from the AR face database. | Download Scientific Diagram
Example of images from the AR face database. | Open-i
Some face images from the AR Face Database. The images shown in first,... | Download Scientific Diagram
Some images of AR face database | Download Scientific Diagram
A Fechner multiscale local descriptor for face recognition | SpringerLink
Unsupervised Feature Selection Based on Low-Rank Regularized Self-Representation
Face Databases 1 Databases for Face Recognition
ICANet: a simple cascade linear convolution network for face recognition | EURASIP Journal on Image and Video Processing | Full Text
Face Recognition with Occlusions in the Training and Testing Sets
Images of an individual from the AR face database. | Download Scientific Diagram
Mathematics | Free Full-Text | Single-Sample Face Recognition Based on Shared Generative Adversarial Network
Electronics | Free Full-Text | Past, Present, and Future of Face Recognition: A Review
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues
A Comprehensive Study on Loss Functions for Cross-Factor Face Recognition
