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Matteo Sorci

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Publications associées (21)

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In the recent years, researchers have investigated several methods of facial expression analysis. Their interest has been to apply their algorithms to sets of images labelled by a restrained number of experts. In order to deal with the generalizability of ...

2008

Modelling human perception of static expressions by discrete choice models

Jean-Philippe Thiran, Matteo Sorci, Barbara Cerretani

When people interact to communicate, a very important role is played by the face. In fact, thanks to it we can get information about our interlocutors: who they are, what they feel, what their intentions are, etc. Studies demonstrated that facial expressio ...

2007

Modelling Human Perception of Facial Expressions by Discrete Choice Models

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Javier Cruz Mota, Thomas Robin

Facial expression recognition is a hard and ambiguous problem in computer vision. It is hard due to the wide variety of faces and the wide variety of ways of representing the same expression. And it is ambiguous because, even though common approaches treat ...

2007

Modelling Human Perception of Facial Expressions by Discrete Choice Models

Michel Bierlaire, Matteo Sorci, Javier Cruz Mota, Thomas Robin

2007

Facial Expressions Evaluation Survey

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini

Facial expressions are probably the most visual method to convey emotions and one of the most powerful means to relate to each other. A typical automatic system for the recognition of facial expressions is based on a representation of the expression, learn ...

2007

Fisher's Discriminant and Relevant Component Analysis for static facial expression classification

Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini

This paper addresses the issue of automatic classification of the six universal emotional categories (joy, surprise, fear, anger, disgust, sadness) in the case of static images. Appearance parameters are extracted by an active appearance model(AAM) represe ...

2007

Robust infants face tracking using active appearance models: a mixed-state CONDENSATION approach

Jean-Philippe Thiran, Matteo Sorci, Luigi Bagnato, Gianluca Antonini

In this paper a new extension of the CONDENSATION algorithm, with application to infants face tracking, will be introduced. In this work we address the problem of tracking a face and its features in baby video sequences. A mixed state particle filtering sc ...

Springer Verlag2007

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This work addresses the problem of tracking, in real video sequences, the global motion of an infant face as well as the local motion of its inner features. This is a challenging task in Computer Vision field, because of the variability of facial appearanc ...

2006

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In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units (EDU), consisting in a set of high level features derived from an active appe ...

Springer-Verlag2006

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We present a method for combining a number of Support Vector Machines trained independently in the eigenface space and we apply it to face class modeling. We first train several ...

IEEE2005