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000868148 019__ $$a1097597503
000868148 020__ $$a9783030153816$$q(electronic book)
000868148 020__ $$a3030153819$$q(electronic book)
000868148 020__ $$z9783030153809
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000868148 035__ $$aSP(OCoLC)on1097960177
000868148 035__ $$aSP(OCoLC)1097960177$$z(OCoLC)1097597503
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000868148 049__ $$aISEA
000868148 050_4 $$aTA1650
000868148 08204 $$a006.4/2$$223
000868148 1001_ $$aUgail, Hassan.
000868148 24510 $$aComputational techniques for human smile analysis.
000868148 260__ $$aCHAM :$$bSPRINGER,$$c2019.
000868148 300__ $$a1 online resource.
000868148 336__ $$atext$$btxt$$2rdacontent
000868148 337__ $$acomputer$$bc$$2rdamedia
000868148 338__ $$aonline resource$$bcr$$2rdacarrier
000868148 4901_ $$aSpringerBriefs in computer science
000868148 504__ $$aIncludes bibliographical references and index.
000868148 5050_ $$aFacial emotiional expressions -- A computational framework for measuring the facial emotional expressions -- Distinguishing between genuine and posed smiles -- Gender and smile dynamics -- The biometric characteristics of a smile -- Conclusions.
000868148 506__ $$aAccess limited to authorized users.
000868148 520__ $$aIn this book, the authors discuss the recent developments in computational techniques for automated non-invasive facial emotion detection and analysis with particular focus on the smile. By way of applications, they discuss how genuine and non-genuine smiles can be inferred, how gender is encoded in a smile and how it is possible to use the dynamics of a smile itself as a biometric feature. It is often said that the face is a window to the soul. Bearing a metaphor of this nature in mind, one might find it intriguing to understand, if any, how the physical, behavioural as well as emotional characteristics of a person could be decoded from the face itself. With the increasing deductive power of machine learning techniques, it is becoming plausible to address such questions through the development of appropriate computational frameworks. Though there are as many as over twenty five categories of emotions one could express, regardless of the ethnicity, gender or social class, across humanity, there exist six common emotions – namely happiness, sadness, surprise, fear, anger and disgust - all of which can be inferred from facial expressions. Of these facial expressions, the smile is the most prominent in social interactions. The smile bears important ramifications with beliefs such as it makes one more attractive, less stressful in upsetting situations and employers tending to promote people who smile often. Even pockets of scientific research appear to be forthcoming to validate such beliefs and claims, e.g. the smile intensity observed in photographs positively correlates with longevity, the ability to win a fight and whether a couple would stay married. Thus, it appears that many important personality traits are encoded in the smile itself. Therefore, the deployment of computer based algorithms for studying the human smiles in greater detail is a plausible avenue for which the authors have dedicated the discussions in this book. --$$cProvided by publisher.
000868148 588__ $$aOnline resource; title from PDF title page (viewed April 22, 2019)
000868148 650_0 $$aHuman face recognition (Computer science)
000868148 650_0 $$aFace perception$$xData processing.
000868148 650_0 $$aImage processing$$xDigital techniques.
000868148 7001_ $$aALDAHOUD, AHMAD ALI ASAD.
000868148 830_0 $$aSpringerBriefs in computer science.
000868148 852__ $$bebk
000868148 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-15381-6$$zOnline Access$$91397441.1
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000868148 983__ $$aOnline
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