Skip to main content

UVAD Database Access in Bob

Project description

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:

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},
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},


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

$ conda install bob.db.uvad


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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution (309.0 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page