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Heterogeneous Face Recognition

Heterogeneous face recognition is the task of matching face images acquired from different sources (i.e., different sensors or different wavelengths) for identification or verification.

( Image credit: Pose Agnostic Cross-spectral Hallucination via Disentangling Independent Factors )

Papers

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Showing 26–36 of 36 papers

TitleStatusHype
Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition—0
Thermal to Visible Synthesis of Face Images using Multiple Regions—0
Towards NIR-VIS Masked Face Recognition—0
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition—0
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition—0
Adversarial Discriminative Heterogeneous Face Recognition—0
A NIR-to-VIS face recognition via part adaptive and relation attention module—0
A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution—0
Coupled Deep Learning for Heterogeneous Face Recognition—0
Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation—0
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition—0
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