BibTeX
@MISC{Torre_facialexpression,
author = {Fernando De La Torre and Jeffrey F. Cohn},
title = {Facial Expression Analysis},
year = {}
}
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Abstract
The face is one of the most powerful channels of nonverbal communication. Facial expression provides cues about emotion, intention, alertness, pain, personality, regulates interpersonal behavior, and communicates psychiatric and biomedical status among other functions. Within the past 15 years, there has been increasing interest in automated facial expression analysis within the computer vision and machine learning communities. This chapter reviews fundamental approaches to facial measurement by behavioral scientists and current efforts in automated facial expression recognition. We consider challenges, review databases available to the research community, approaches to feature detection, tracking, and representation, and both supervised and unsupervised learning.
Keyphrases
facial expression analysis review database unsupervised learning machine learning community facial expression powerful channel nonverbal communication behavioral scientist current effort computer vision interpersonal behavior fundamental approach automated facial expression recognition biomedical status research community facial measurement
