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Statistical Transformation Techniques for Face Verification Using Faces Rotated in Depth

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A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007

Fast Keypoint Recognition in Ten Lines of Code

Pascal Fua, Vincent Lepetit, Mustafa Özuysal

While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. In this paper, we show that formulating the problem in ...

IEEE Xplore2007

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

Anisotropic Gaussian Filters for Face Class Modeling

Jean-Philippe Thiran, Vlad Popovici, Julien Meynet

In this paper we propose a new approach to automatic human face detection which employs anisotropic Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperfor ...

IEEE2006

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

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

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