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Lighting Normalization Algorithms for Face Verification

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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 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

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

Face Authentication with Salient Local Features and Static Bayesian Network

Sébastien Marcel, Guillaume Heusch

IDIAP2007

Analysis of Head Mounted Wireless Camera Videos for Early Diagnosis of Autism

Jean-Philippe Thiran, Aude Billard, Julien Meynet, Basilio Noris

In this paper we present a computer based approach to analysis of social interaction experiments for the diagnosis of autism spectrum disorders in young children of 6-18 months of age. We apply face detection on videos from a head-mounted wireless camera t ...

Springer-Verlag2007

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

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

Face Detection and Verification using Local Binary Patterns

Yann Rodriguez

This thesis proposes a robust Automatic Face Verification (AFV) system using Local Binary Patterns (LBP). AFV is mainly composed of two modules: Face Detection (FD) and Face Verification (FV). The purpose of FD is to determine whether there are any face in ...

École Polytechnique Fédérale de Lausanne2006

Face Detection and Verification using Local Binary Patterns

Yann Rodriguez

IDIAP2006

Face detection and verification using local binary patterns

Yann Rodriguez

EPFL2006

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