Jan 13, 2014 · The transduction approach can reduce the domain difference due to heterogeneous data and learn the discriminative model for target people ...

Abstract—Visual versus near infrared (VIS-NIR) face image matching uses an NIR face image as the probe and conventional. VIS face images as enrollment.

This work proposes a transduction method named transductive heterogeneous face matching (THFM) to adapt the VIS-NIR matching learned from training with ...

Visual versus near infrared (VIS-NIR) face image matching uses an NIR face image as the probe and conventional VIS face images as enrollment.

Visual versus near infrared (VIS-NIR) face image matching uses an NIR face image as the probe and conventional VIS face images as enrollment.

The visual-near infrared (VIS-NIR) face matching, sharing the illumination-invariant property of NIR face image and remaining the use of existing VIS face ...

Matching NIR Face to VIS Face Using Transduction ; Keyword (fr): Algorithme apprentissage Banque image Base donnée fédérée Biométrie ; Keyword (en): Learning ...

The generated high-quality NIR-VIS facial image dataset is then used, along with a VIS face recognition dataset, to train the NIR-VIS face recognition network.

This work proposes a transduction method named transductive heterogeneous face matching (THFM) to adapt the VIS-NIR matching learned from training with ...

This paper proposes a coupled adversarial learning (CAL) approach for the VIS-NIR face matching by performing adversarial learning on both image and feature ...