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EBSCO_ocn695042194 |
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|a 978-1-60750-597-6
|b IOS Press
|n http://www.iospress.nl
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|a Stathopoulou, Ioanna-Ourania.
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|a Visual affect recognition /
|c Ioanna-Ourania Stathopoulou and George A. Tsihrintzis.
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|a Amsterdam ;
|a Washington, DC :
|b IOS Press,
|c 2010.
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|a 1 online resource (247 pages).
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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490 |
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|a Frontiers in artificial intelligence and applications ;
|v 214
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|a Includes bibliographical references (pages 205-247).
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|a Print version record.
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|a Title page; Contents; Introduction; Motivation; Organization of this monograph; Psychological Studies on Emotion Perception; Emotion vs affect vs feelings; Emotions and culture; Basic Emotions; Culturally Specific Expressions of Emotions; Higher Cognitive Emotions; Neurobiology and Emotion Expression; Cerebral Cortex; Amygdala; Superior Temporal Sulcus; Implicit and Explicit Perception of Emotion; Expression of Emotion; Written Language; Speech; Facial Expressions; Body movements and Hand gestures; Facial Expression of Emotion.
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|a Previous Attempts to Facial Emotion Quantification and ClassificationExternal Factors in Facial Emotion Perception; Face and Facial Expressions: Their Role; The Importance of Understanding Emotions; Meeting Emotional Needs with the Help of Advanced Human-Computer Interaction Techniques; Supporting emotional skill needs; Supporting experiential needs; Studies and Systems on Emotion Recognition; Face Databases; Specifying Requirements for an Ideal Facial Expression Database; Previous Facial Expression Databases; Section Summary -- Results; Face Detection.
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|a Specifying Requirements for an Ideal Face Detection SystemPrevious Works on Face Detection; Section Summary -- Results; Facial Expression Classification System; Specifying Requirements for our Facial Expression Classification System; Facial Expression Classification Approaches; Section Summary -- Results; Face Image Databases; The Database of Low Quality Face Images (DBLQFI); The Database of High Quality Face Images (DBHQFI); Empirical Studies on Emotion Recognition; Preliminary Questionnaires; Newer (Detailed) Questionnaires; The detailed questionnaire structure.
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|a The observer and subject backgroundsResults from Statistical Analysis; Statistical Analysis per Expression; Difficulties of Facial Expression Classification as Outlined by the Participants; Statistical Significance of the Results; Extraction of Facial Expression Classification Features; Summary -- Conclusions; Visual-Facial Emotion Recognition System; Face Detection; P. Sinha's Template; The Face Detection Algorithm -- Image Preprocessing; Artificial Neural Network-Based Face Detectors; Performance Evaluation; Summary and Conclusions; Introduction to our Facial Expression Recognition System.
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|a First attempts for facial expression recognitionThe Facial Expression Classification Algorithm (1st Attempts); Feature Validation (First Attempts); Neural Network Classifiers (First Attempts); Results from neural network classifiers (First Attempts); Facial expression recognition system; Feature Selection; Image Preprocessing and Feature Extraction; The extraction algorithm for the rest of facial features; Combination of all and computation of feature vector; Quantification of Feature Discrimination Power; Classifiers for Facial Expression Classification; Classification Performance Assessment.
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|a It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a description of empirical studies conducted with human participants and the construction of a '
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Human face recognition (Computer science)
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650 |
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|a Computer vision.
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|a Visual perception.
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|a Facial expression.
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|a Biometric Identification
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|a Visual Perception
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|a Facial Expression
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|a Reconnaissance faciale (Informatique)
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|a Vision par ordinateur.
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|a Perception visuelle.
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|a Physionomie.
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|a visual perception.
|2 aat
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|a COMPUTERS
|x Computer Vision & Pattern Recognition.
|2 bisacsh
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|a Computer vision
|2 fast
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|a Facial expression
|2 fast
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|a Human face recognition (Computer science)
|2 fast
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|a Visual perception
|2 fast
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|a Tsihrintzis, George A.
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|i Print version:
|a Stathopoulou, Ioanna-Ourania.
|t Visual affect recognition.
|d Amsterdam ; Washington, DC : IOS Press, 2010
|z 9781607505969
|w (OCoLC)669738922
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830 |
|
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|a Frontiers in artificial intelligence and applications ;
|v 214.
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856 |
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