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Face Detection with Mixtures of Boosted Discriminant Features

Publications associées (90)

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An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms

Sébastien Marcel

In this paper we introduce the facereclib, the first software library that allows to compare a variety of face recognition algorithms on most of the known facial image databases and that permits rapid prototyping of novel ideas and testing of meta-paramete ...

Springer Berlin2012

An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms

Sébastien Marcel

Idiap2012

Face Detection using Ferns

Sébastien Marcel, Venkatesh Bala Subburaman

This paper discusses the use of ferns (a set of binary features) for face detection. The binary feature used here is the sign of pixel intensity difference. Ferns were first introduced for keypoint recognition and showed good performance, and improving the ...

Idiap2011

Competition on Counter Measures to 2-D Facial Spoofing Attacks

Sébastien Marcel, André Anjos, Murali Mohan Chakka, Zhiwei Zhang

Spoofing identities using photographs is one of the most common techniques to attack 2-D face recognition systems. There seems to exist no comparative studies of different techniques using the same protocols and data. The motivation behind this competition ...

2011

Parts-Based Face Verification using Local Frequency Bands

Sébastien Marcel

In this paper we extend the Parts-Based approach of face verification by performing a frequency-based decomposition. The Parts-Based approach divides the face into a set of blocks which are then considered to be separate observations, this is a spatial dec ...

Idiap2011

Adult Face Recognition in Score-Age-Quality Classification Space

Andrzej Drygajlo, Weifeng Li, Hui Qiu

Face verification in the simultaneous presence of age progression and changing face-image quality is an important problem that has not been widely addressed. In this paper, we study the problem by designing and evaluating a generalized Q-stack model, which ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2011

Face Verification using Gabor Filtering and Adapted Gaussian Mixture Models

Sébastien Marcel, Laurent El Shafey

The search for robust features for face recognition in uncontrolled environments is an important topic of research. In particular, there is a high interest in Gabor-based features which have invariance properties to simple geometrical transformations. In t ...

Idiap2011

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

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

On the vulnerability of face verification systems to hill-climbing attacks

Sébastien Marcel

In this paper, we use a hill-climbing attack algorithm based on Bayesian adaption to test the vulnerability of two face recognition systems to indirect attacks. The attacking technique uses the scores provided by the matcher to adapt a global distribution ...

2010