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Description:
bob.db.uvad 0.0.6
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.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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