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Robust Face Verification using Skin Color and Neural Networks

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Face authentication based on local features and generative models

The principal objective of this thesis is to investigate approaches toward a robust automatic face authentication (AFA) system in weakly constrained environments. In this context, we develop new algorithms based on local features and generative models. In ...

EPFL2006

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, ...

2006

Local Binary Patterns as an Image Preprocessing for Face Authentication

Sébastien Marcel, Guillaume Heusch, Yann Rodriguez

One of the major problem in face authentication systems is to deal with variations in illumination. In a \mbox{realistic} scenario, it is very likely that the lighting conditions of the probe image does not correspond to those of the gallery image, hence t ...

2006

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

Measuring the Performance of Face Localization Systems

Samy Bengio, Yann Rodriguez

IDIAP2005

Local Binary Patterns as an Image Preprocessing for Face Authentication

Sébastien Marcel, Guillaume Heusch, Yann Rodriguez

IDIAP2005

Consistent image-based measurement and classification of skin color

Sabine Süsstrunk

Little prior image processing work has addressed estimation and classification of skin color in a manner that is independent of camera and illuminant. To this end, we first present new methods for 1) fast, easy-to-use image color correction, with specializ ...

2005

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

Boosting Pixel-based Classifiers for Face Verification

Sébastien Marcel, Yann Rodriguez

The performance of face authentication systems has steadily improved over the last few years. State-of-the-art methods use the projection of the gray-scale face image into a Linear Discriminant subspace as input of a classifier such as Support Vector Machi ...

Springer-Verlag2004

Improving Face Authetication Using Virtual Samples

Sébastien Marcel, Samy Bengio, Norman Hoon Thian Poh

In this paper, we present a simple yet effective way to improve a face verification system by generating multiple virtual samples from the unique image corresponding to an access request. These images are generated using simple geometric transformations. T ...

2003