Person
Matteo Sorci
This person is no longer with EPFL
Related publications (21)
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 Engineers2015Improved 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 ...
2013Automatic 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, ...
2012Capturing Human Perception of Facial Expressions by Discrete Choice Modelling
Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, Javier Cruz Mota, Thomas Robin
Facial expression recognition by human observers is affected by subjective components. Indeed there is no ground truth. We have developed Discrete Choice Models (DCM) to capture the human perception of facial expressions. In a first step, the static case i ...
Emerald Group Publishing Limited2010Modelling human perception of static facial expressions
Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, Javier Cruz Mota, Thomas Robin
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 ...
2010Modelling human perception of facial expressions
Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Javier Cruz Mota, Thomas Robin
Facial expression recognition by human observers is affected by subjective components. Indeed there is no ground truth. We have developped Discrete Choice Models to capture the human perception of facial expressions. In a first step, the static case is tre ...
2009Automatic face analysis in static and dynamic environments
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 ...
EPFL2009Modelling human perception of static facial expressions
Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, 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 ...
2008Modelling human perception of static facial expressions
Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, Javier Cruz Mota, Thomas Robin, 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 classificatio ...
2008On the estimation of geodesic paths on sampled manifolds after 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