Skip to content
Snippets Groups Projects
Select Git revision
  • master default protected
  • v0.0.6
  • v0.0.5
  • v0.0.4
  • v0.0.3
  • v0.0.2
  • v0.0.1
7 results

README.rst

Blame
  • README.rst 2.22 KiB

    UVAD Database Access in Bob

    This package is part of the signal-processing and machine learning toolbox Bob. This package provides an interface to the Unicamp Video-Attack Database (UVAD) database. The original data files need to be downloaded separately.

    If you use this database, please cite the following publication:

    @ARTICLE{7017526,
    author={Pinto, A. and Robson Schwartz, W. and Pedrini, H. and De Rezende Rocha, A.},
    journal={Information Forensics and Security, IEEE Transactions on},
    title={Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks},
    year={2015},
    month={May},
    volume={10},
    number={5},
    pages={1025-1038},
    keywords={Authentication;Biometrics (access control);Databases;Face;Feature extraction;Histograms;Noise;Unicamp Video-Attack Database;Video-based Face Spoofing;Video-based face spoofing;Visual Rhythm, Video-based Attacks;impersonation detection in facial biometric systems;unicamp video-attack database;video-based attacks;visual rhythm},
    doi={10.1109/TIFS.2015.2395139},
    ISSN={1556-6013},}

    Installation

    Complete Bob's installation instructions. Then, to install this package, run:

    $ conda install bob.db.uvad

    Contact

    For questions or reporting issues to this software package, contact our development mailing list.