Publications de Matteo Sorci | EPFL Graph Search

Facial Image Analysis for Fully-Automatic Prediction of Difficult Endotracheal Intubation

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce, Hua Gao, Gabriel Louis Cuendet

Goal: Difficult tracheal intubation is a major cause of anesthesia related injuries with potential life threatening complications. Detection and anticipation of difficult airway in the preoperative period is thus crucial for the patients’ safety. We propos ...

Institute of Electrical and Electronics Engineers2015

Improved Local Binary Pattern Based Action Unit Detection Using Morphological and Bilateral Filters

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce

Automatic facial action unit (AU) detection in videos is the key ingredient to all systems that utilize a subject face for either interaction or analysis purposes. With the ever growing range of possible applications, achieving a high accuracy in the simpl ...

2013

Automatic Mallampati Classification Using Active Appearance Models

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce, Gabriel Louis Cuendet

Difficult tracheal intubation assessment is an important research topic in anesthesia as failed intubations are important causes of mortality in anesthetic practice. The modified Mallampati score is widely used, alone or in conjunction with other criteria, ...

2012

Head pose detection using Fast Robust PCA for Side Active Appearance Models under Occlusion

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce

2011

Modelling human perception of static facial expressions

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

A recent internet based survey of over 35'000 samples has shown that when different human observers are asked to assign labels to static human facial expressions, different individuals categorize differently the same image. This fact results in a lack of a ...

2010

Automatic face analysis in static and dynamic environments

Matteo Sorci

Faces play a vital role in people's daily lives, as they are able to convey many different information and above all their behaviour and emotions. Therefore, for decades the face has been investigated by researchers in several fields such as computer scien ...

EPFL2009

On the estimation of geodesic paths on sampled manifolds under random projections

Pierre Vandergheynst, Matteo Sorci

In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in high-dimensional Euclidean spaces. We show that geodesic paths approximations from nearest neighbors Euclidean distances are well-preserved ...

2008

Modelling human perception of static facial expressions

Michel Bierlaire, Jean-Philippe Thiran, Gianluca Antonini, Matteo Sorci, Javier Cruz Mota, Barbara Cerretani

Data collected through a recent web-based survey show that the perception (i.e. labeling) of a human facial expression by a human observer is a subjective process, which results in a lack of a unique ground-truth, as intended in the standard classification ...

2008

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

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

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

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

Jean-Philippe Thiran, Gianluca Antonini, Matteo Sorci

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