Person

Guillaume Heusch

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Related publications (16)

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Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks

Sébastien Marcel, Guillaume Heusch, Zohreh Mostaani

This paper addresses the problem of face presentation attack detection using different image modalities. In particular, the usage of short wave infrared (SWIR) imaging is considered. Face presentation attack detection is performed using recent models based ...

IEEE2020

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The High-Quality Wide Multi-Channel Attack database (HQ-WMCA) database extends the previous Wide Multi-Channel Attack database(WMCA) \citegeorge_mccnn_tifs2019, with more channels including color, depth, thermal, infrared (spectra), and short-wave infrared ...

Idiap2020

A Comprehensive Experimental and Reproducible Study on Selfie Biometrics in Multistream and Heterogeneous Settings

Sébastien Marcel, Guillaume Heusch, Tiago De Freitas Pereira

This contribution presents a new database to address current challenges in face recognition. It contains face video sequences of 75 individuals acquired either through a laptop webcam or when mimicking the front-facing camera of a smartphone. Sequences hav ...

2019

Remote Blood Pulse Analysis for Face Presentation Attack Detection

Sébastien Marcel, Guillaume Heusch

In this chapter, the usage of Remote Photoplethysmography (rPPG\index{Remote Photoplethysmography (rPPG)}) as a mean for face presentation attack detection is investigated. Remote photoplethysmography consists in retrieving the heart-rate of a subject from ...

Springer2019

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This paper studies the problem of reproducible research in remote photoplethysmography (rPPG). Most of the work published in this domain is assessed on privately-owned databases, making it difficult to evaluate proposed algorithms in a standard and princip ...

2017

Bayesian networks as generative models for face recognition

Guillaume Heusch

In this thesis, we address the problem of face modelling by using dedicated statistical generative models, with an application to the face authentication task. Face authentication consists in either accepting or rejecting a user's claim supported by its fa ...

EPFL2010

In this paper, a novel statistical generative model to describe a face is presented, and is applied to the face authentication task. Classical generative models used so far in face recognition, such as Gaussian Mixture Models (GMMs) and Hidden Markov Model ...

2010

In this paper, the problem of face authentication using salient facial features together with statistical generative models is adressed. Actually, classical generative models, and Gaussian Mixture Models in particular make strong assumptions on the way obs ...

2007

IDIAP2007

In this paper, a novel statistical generative model to describe a face is presented, and is applied on the face authentication task. Classical generative models used so far in face recognition, such as Gaussian Mixture Models (GMM) and Hidden Markov Models ...

IDIAP2007