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Patch-based Face Recognition using a Hierarchical Multi-label Matcher
Three ways are introduced to learn the global matching: majority voting, l1-regularized weighting, and decision rule.
A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes
This paper focuses on improving face recognition performance with a new signature combining implicit facial features with explicit soft facial attributes.
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition
Extensive experiments are conducted on the UHDB31 and IJB-A, demonstrating that UR2D outperforms existing 2D face recognition systems such as VGG-Face, FaceNet, and a commercial off-the-shelf software (COTS) by at least 9% on the UHDB31 dataset and 3% on the IJB-A dataset on average in face identification tasks.
End-to-end 3D face reconstruction with deep neural networks
Inspired by the success of deep neural networks (DNN), we propose a DNN-based approach for End-to-End 3D FAce Reconstruction (UH-E2FAR) from a single 2D image.
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