Publication

Modelling Human Perception of Facial Expressions by Discrete Choice Models

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci
2007
Talks

Abstract

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 it as a classification problem, actually when looking at the same scene, different people can feel a different expression. In this presentation, we will show preliminary results obtained in an ongoing project of Discrete Choice Modeling of human perception of facial expressions. This new approach allows to exploit the mentioned heterogeneity of perceptions in a population of "experts" interpreting a facial expression, where an expert is somebody able to discern between different facial expressions, i.e. any human.

Official source

https://infoscience.epfl.ch/entities/publication/0e3ed1e2-e2b9-425d-9b82-60440880cc9c

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Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci
2007
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/0e3ed1e2-e2b9-425d-9b82-60440880cc9c

About this result

Related concepts (32)

Facial expression

A facial expression is one or more motions or positions of the muscles beneath the skin of the face. According to one set of controversial theories, these movements convey the emotional state of an individual to observers. Facial expressions are a form of nonverbal communication. They are a primary means of conveying social information between humans, but they also occur in most other mammals and some other animal species. (For a discussion of the controversies on these claims, see Fridlund and Russell & Fernandez Dols.

Facial recognition system

A facial recognition system is a technology potentially capable of matching a human face from a or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image. Development began on similar systems in the 1960s, beginning as a form of computer application. Since their inception, facial recognition systems have seen wider uses in recent times on smartphones and in other forms of technology, such as robotics.

Face perception

Facial perception is an individual's understanding and interpretation of the face. Here, perception implies the presence of consciousness and hence excludes automated facial recognition systems. Although facial recognition is found in other species, this article focuses on facial perception in humans. The perception of facial features is an important part of social cognition. Information gathered from the face helps people understand each other's identity, what they are thinking and feeling, anticipate their actions, recognize their emotions, build connections, and communicate through body language.

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Modelling Human Perception of Facial Expressions by Discrete Choice Models

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