Computational techniques for human smile analysis.
2019
TA1650
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Online Access
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Details
Title
Computational techniques for human smile analysis.
Author
Ugail, Hassan.
ISBN
9783030153816 (electronic book)
3030153819 (electronic book)
9783030153809
3030153800
3030153819 (electronic book)
9783030153809
3030153800
Imprint
CHAM : SPRINGER, 2019.
Language
English
Description
1 online resource.
Call Number
TA1650
Dewey Decimal Classification
006.4/2
Summary
In this book, the authors discuss the recent developments in computational techniques for automated non-invasive facial emotion detection and analysis with particular focus on the smile. By way of applications, they discuss how genuine and non-genuine smiles can be inferred, how gender is encoded in a smile and how it is possible to use the dynamics of a smile itself as a biometric feature. It is often said that the face is a window to the soul. Bearing a metaphor of this nature in mind, one might find it intriguing to understand, if any, how the physical, behavioural as well as emotional characteristics of a person could be decoded from the face itself. With the increasing deductive power of machine learning techniques, it is becoming plausible to address such questions through the development of appropriate computational frameworks. Though there are as many as over twenty five categories of emotions one could express, regardless of the ethnicity, gender or social class, across humanity, there exist six common emotions – namely happiness, sadness, surprise, fear, anger and disgust - all of which can be inferred from facial expressions. Of these facial expressions, the smile is the most prominent in social interactions. The smile bears important ramifications with beliefs such as it makes one more attractive, less stressful in upsetting situations and employers tending to promote people who smile often. Even pockets of scientific research appear to be forthcoming to validate such beliefs and claims, e.g. the smile intensity observed in photographs positively correlates with longevity, the ability to win a fight and whether a couple would stay married. Thus, it appears that many important personality traits are encoded in the smile itself. Therefore, the deployment of computer based algorithms for studying the human smiles in greater detail is a plausible avenue for which the authors have dedicated the discussions in this book. -- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed April 22, 2019)
Added Author
ALDAHOUD, AHMAD ALI ASAD.
Series
SpringerBriefs in computer science.
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Online Access
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Table of Contents
Facial emotiional expressions
A computational framework for measuring the facial emotional expressions
Distinguishing between genuine and posed smiles
Gender and smile dynamics
The biometric characteristics of a smile
Conclusions.
A computational framework for measuring the facial emotional expressions
Distinguishing between genuine and posed smiles
Gender and smile dynamics
The biometric characteristics of a smile
Conclusions.