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Haar Local Binary Pattern Feature for Fast Illumination Invariant Face Detection

Publications associées (61)

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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 ...

IDIAP2006

Face detection and verification using local binary patterns

Yann Rodriguez

EPFL2006

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

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

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

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

A probabilistic model of face mapping applied to person recognition

Within the field of pattern recognition, biometrics is the discipline which is concerned with the automatic recognition of a person based on his/her physiological or behavioral characteristics. Face recognition, a central area in biometrics, is a very chal ...

EPFL2004

Statistical Transformation Techniques for Face Verification Using Faces Rotated in Depth

Samy Bengio

In the framework of a {B}ayesian classifier based on mixtures of gaussians, we address the problem of non-frontal face verification (when only a single (frontal) training image is available) by extending each frontal face model with artificially synthesize ...

IDIAP2004