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 |
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Title of host publication | Studies in Classification, Data Analysis, and Knowledge Organization |
Pages | 123-130 |
Number of pages | 8 |
DOIs | |
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 |
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Country/Territory | Italy |
City | Pavia |
Period | 9/1/11 → 9/1/11 |
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Information Systems and Management
- Analysis