• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Cross-spectrum thermal to visible face recognition based on cascaded image synthesis
 
  • Details
  • Full
Options
2019
  • Konferenzbeitrag

Titel

Cross-spectrum thermal to visible face recognition based on cascaded image synthesis

Abstract
Face synthesis from thermal to visible spectrum is fundamental to perform cross-spectrum face recognition as it simplifies its integration in existing commercial face recognition systems and enables manual face verification. In this paper, a new solution based on cascaded refinement networks is proposed. This method generates visible-like colored images of high visual quality without requiring large amounts of training data. By employing a contextual loss function during training, the proposed network is inherently scale and rotation invariant. We discuss the visual perception of the generated visible-like faces in comparison with recent works. We also provide an objective evaluation in terms of cross-spectrum face recognition, where the generated faces were compared against a gallery in visible spectrum using two state-of-the-art deep learning based face recognition systems. When compared to the recently published TV-GAN solution, the performance of the face recognition systems, OpenFace and LightCNN, was improved by a 42.48% (i.e. from 10.76% to 15.37%) and a 71.43% (i.e. from 33.606% to 57.612%), respectively.
Author(s)
Mallat, Khawla
EURECOM, France
Damer, Naser
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Boutros, Fadi
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Kuijper, Arjan
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Dugelay, Jean-Luc
EURECOM, France
Hauptwerk
12th IAPR International Conference on Biometrics, ICB 2019
Project(s)
PROTECT
Funder
European Commission EC
Konferenz
International Conference on Biometrics (ICB) 2019
Thumbnail Image
DOI
10.1109/ICB45273.2019.8987347
Language
Englisch
google-scholar
IGD
Tags
  • CRISP

  • Lead Topic: Visual Co...

  • Research Line: Comput...

  • biometrics

  • biometric identificat...

  • face recognition

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022