Supervised classification of facial expressions

S. Fontanella; C. Fusilli; L. Ippoliti

doi:10.1007/978-3-319-00032-9-15

Supervised classification of facial expressions

S. Fontanella, C. Fusilli, L. Ippoliti

IRCCS Casa Sollievo della Sofferenza

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Over the last decade, the statistical analysis of facial expressions has become an active research topic that finds potential applications in many areas. As the expression plays remarkable social interaction, the development of a system that accomplishes the task of automatic classification is challenging. In this work, we thus consider the problem of classifying facial expressions through shape variables represented by log-transformed Euclidean distances computed among a set of anatomical landmarks.

Original language	English
Title of host publication	Studies in Classification, Data Analysis, and Knowledge Organization
Pages	123-130
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-319-00032-9-15
Publication status	Published - 2013
Event	8th Biannual Meeting of the Classification and Data Analysis Group, CLADAG 2011 - Pavia, Italy Duration: Sep 1 2011 → Sep 1 2011

Other

Other	8th Biannual Meeting of the Classification and Data Analysis Group, CLADAG 2011
Country	Italy
City	Pavia
Period	9/1/11 → 9/1/11

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Information Systems and Management
Analysis

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title = "Supervised classification of facial expressions",

abstract = "Over the last decade, the statistical analysis of facial expressions has become an active research topic that finds potential applications in many areas. As the expression plays remarkable social interaction, the development of a system that accomplishes the task of automatic classification is challenging. In this work, we thus consider the problem of classifying facial expressions through shape variables represented by log-transformed Euclidean distances computed among a set of anatomical landmarks.",

author = "S. Fontanella and C. Fusilli and L. Ippoliti",

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AB - Over the last decade, the statistical analysis of facial expressions has become an active research topic that finds potential applications in many areas. As the expression plays remarkable social interaction, the development of a system that accomplishes the task of automatic classification is challenging. In this work, we thus consider the problem of classifying facial expressions through shape variables represented by log-transformed Euclidean distances computed among a set of anatomical landmarks.

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DO - 10.1007/978-3-319-00032-9-15

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BT - Studies in Classification, Data Analysis, and Knowledge Organization

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