Cross-Spectral Periocular Recognition with Conditional Adversarial ...
ieeexplore.ieee.org › document
This work addresses the challenge of comparing periocular images captured in different spectra, which is known to produce significant drops in performance ...
This work addresses the challenge of comparing perioc- ular images captured in different spectra, which is known to produce significant drops in performance ...
Aug 26, 2020 · This work proposes the use of Conditional Generative Adversarial Networks, trained to convert periocular images between visible and ...
Sep 28, 2020 · This work addresses the challenge of comparing periocular images captured in different spectra, which is known to produce significant drops ...
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks ... High Boost 3-D Attention Network for Cross-Spectral Periocular Recognition.
On cross spectral periocular recognition - Semantic Scholar
www.semanticscholar.org › paper › On-c...
This paper proposes a method based on illumination normalization of VIS and NIR periocular images using the difference of Gaussian filtering and computation ...
Cross-spectral periocular recognition with conditional adversarial networks. K Hernandez-Diaz, F Alonso-Fernandez, J Bigun. 2020 IEEE International Joint ...
... Conditional Generative Adversarial Network (CoGAN) architecture uses paired generator networks (one operating on visible images and the other on NIR) ...
We propose a novel approach to cross-spectral periocular verification that primarily focuses on learning a mapping from visible and NIR periocular images to a ...
Feb 14, 2020 · In this paper, we investigate the use of Conditional Adversarial Networks for spectrum translation between near infra-red and visual light ...