Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

Scripts for administrative actions on Bob, creating/configuring build environments and other tidy bits.

Experiment Evaluation Metrics for Bob

Helps projects building Bob/Python C++ extensions

Vein biometrics recognition baselines

Implements tools for spoofing or presentation attack detection in face biometrics.

Basic tools for running spoofing or presentation attack detection (PAD) experiments

A collection of Matlab/GNU Octave functions for robot programming-by-demonstration that combine statistical learning, dynamical systems and optimal control.

Source code and scores for reproducing the experiments and figures of the paper "DeepFakes: a New Threat to Face Recognition? Assessment and Detection"

Package to reproduce experiments for the paper submitted to the BTAS special session on Image and Video Forensics in Biometrics 2018

Head pose estimation from openpose output

Companion package for the chapter 13 of Handbook of Biometrics Anti-Spoofing vol 2: Remote Blood Pulse Analysis for Presentation Attack Detection.

Software package to reproduce "Spoofing Deep Face Recognition with Custom Flexible Masks" published on BTAS 2018

Source code for reproducing the speaker inconsistency detection experiments of the paper "Speaker Inconsistency Detection in Tampered Video" in EUSIPCO 2018 conference

Documentation merger project for BEAT

The BEAT prefix folder for the BEAT tutorial