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Session Variability Modelling for Face Authentication

Related publications (32)

Generating Master Faces for Use in PerformingWolf Attacks on Face Recognition Systems

Due to its convenience, biometric authentication, especial face authentication, has become increasingly mainstream and thus is now a prime target for attackers. Presentation attacks and face morphing are typical types of attack. Previous research has shown ...

IEEE2020

Session variability modelling for face authentication

Sébastien Marcel, Laurent El Shafey

This study examines session variability modelling for face authentication using Gaussian mixture models. Session variability modelling aims to explicitly model and suppress detrimental within-class (inter-session) variation. The authors examine two techniq ...

2013

Can face anti-spoofing countermeasures work in a real world scenario?

Sébastien Marcel, André Anjos, Tiago De Freitas Pereira

User authentication is an important step to protect in- formation and in this field face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable ...

2013

Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models

Sébastien Marcel

This paper applies score and feature normalization techniques to parts-based Gaussian mixture model (GMM) face authentication. In particular, we propose to utilize techniques that are well established in state-of-the-art speaker authentication, and apply t ...

2012

Inter-session Variability Modelling and Joint Factor Analysis for Face Authentication

Sébastien Marcel

This paper applies inter-session variability modelling and joint factor analysis to face authentication using Gaussian Mixture Models. These techniques, originally developed for speaker authentication, aim to explicitly model and remove detrimental within- ...

Idiap2011

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

A novel statistical generative model dedicated to face recognition

Sébastien Marcel, Guillaume Heusch

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

Features extraction for low-power face verification

Patrick Stadelmann

Mobile communication devices now available on the market, such as so-called smartphones, are far more advanced than the first cellular phones that became very popular one decade ago. In addition to their historical purpose, namely enabling wireless vocal c ...

University of Neuchâtel2008

On the Recent Use of Local Binary Patterns for Face Authentication

Sébastien Marcel, Guillaume Heusch, Yann Rodriguez

This paper presents a survey on the recent use of Local Binary Patterns (LBPs) for face recognition. LBP is becoming a popular technique for face representation. It is a non-parametric kernel which summarizes the local spacial structure of an image and it ...

2007

Face Authentication with Salient Local Features and Static Bayesian Network

Sébastien Marcel, Guillaume Heusch

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

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