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Adapted Generative Models For Face Verification

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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

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 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

Analysis and Classification of EEG Signals using Probabilistic Models for Brain Computer Interfaces

Silvia Chiappa

This thesis explores latent-variable probabilistic models for the analysis and classification of electroenchephalographic (EEG) signals used in Brain Computer Interface (BCI) systems. The first part of the thesis focuses on the use of probabilistic methods ...

IDIAP2006

Analysis and classification of EEG signals using probabilistic models for brain computer interfaces

Silvia Chiappa

EPFL2006

Combined Depth and Outlier Estimation in Multi-View Stereo

Christoph Strecha

In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes: (i) an inlier process, which generates the pixels which are visible from the ...

2006

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

Multimedia event modelling and recognition

Mark Barnard

The recognition of events in multimedia data is a challenging area of research. The growth in the amount of multimedia data being produced and stored increases the need for systems capable of automatically analysing this data. This analysis can aid in effi ...

EPFL2005

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