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Measuring the Performance of Face Localization Systems

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Active Shape Models Using Local Binary Patterns

Sébastien Marcel, Jean Keomany

This report addresses the problem of locating facial features in images of frontal faces taken under different lighting conditions. The well-known Active Shape Model method proposed by Cootes {\it et al.} is extended in order to improve its robustness to i ...

IDIAP2006

Robust-to-Illumination Face Localisation using Active Shape Models and Local Binary Patterns

Sébastien Marcel, Yann Rodriguez, Jean Keomany

This paper addresses the problem of locating facial features in images of frontal faces taken under different lighting conditions. The well-known Active Shape Model method proposed by Cootes {\it et al.} is extended to improve its robustness to illuminatio ...

IDIAP2006

Measuring the Performance of Face Localization Systems

Samy Bengio, Yann Rodriguez

The purpose of Face localization is to determine the coordinates of a face in a given image. It is a fundamental research area in computer vision because it serves, as a necessary first step, any face processing systems, such as automatic face recognition, ...

IDIAP2005

Face Detection with Mixtures of Boosted Discriminant Features

Jean-Philippe Thiran, Vlad Popovici, Julien Meynet

Detecting faces in images is a key step in numerous computer vision applications as face recognition for example. Face detection is a difficult task in image analysis because of the large face intra-class variability which is due to the important influence ...

2005

Lighting Normalization Algorithms for Face Verification

Sébastien Marcel, Guillaume Heusch

In this report, we address the problem of face verification across illumination, since it has been identified as one of the major factor degrading the performance of face recognition systems. First, a brief overview of face recognition together with its ma ...

IDIAP2005

Estimating the Quality of Face Localization for Face Verification

Samy Bengio, Yann Rodriguez

Face localization is the process of finding the exact position of a face in a given image. This can be useful in several applications such as face tracking or person authentication. The purpose of this paper is to show that the error made during the locali ...

IDIAP2004

Estimating the Quality of Face Localization for Face Verification

Samy Bengio, Yann Rodriguez

2004

On Performance / Robustness / Complexity Trade-Offs in Face Verification

Samy Bengio

In much of the literature devoted to face recognition, experiments are performed with controlled images (e.g. manual face localization, controlled lighting, background and pose); however, a practical recognition system has to be robust to more challenging ...

IDIAP2004

Kernel-based classifiers with applications to face detection

Vlad Popovici

Statistical pattern recognition occupies a central place in the general context of machine learning techniques, as it provides the theoretical insights and the practical means for solving a variety of problems ranging from character recognition to face rec ...

EPFL2004

User Authentication via Adapted Statistical Models of Face Images

Samy Bengio

It has been previously demonstrated that systems based on local features and relatively complex statistical models, namely 1D Hidden Markov Models (HMMs) and pseudo-2D HMMs, are suitable for face recognition. Recently, a simpler statistical model, namely t ...

IDIAP2004