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Visual affect recognition /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Stathopoulou, Ioanna-Ourania
Otros Autores: Tsihrintzis, George A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Washington, DC : IOS Press, 2010.
Colección:Frontiers in artificial intelligence and applications ; 214.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Stathopoulou, Ioanna-Ourania. 
245 1 0 |a Visual affect recognition /  |c Ioanna-Ourania Stathopoulou and George A. Tsihrintzis. 
260 |a Amsterdam ;  |a Washington, DC :  |b IOS Press,  |c 2010. 
300 |a 1 online resource (247 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Frontiers in artificial intelligence and applications ;  |v 214 
504 |a Includes bibliographical references (pages 205-247). 
588 0 |a Print version record. 
505 0 |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. 
505 8 |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. 
505 8 |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. 
505 8 |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. 
505 8 |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. 
520 |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 ' 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Human face recognition (Computer science) 
650 0 |a Computer vision. 
650 0 |a Visual perception. 
650 0 |a Facial expression. 
650 2 |a Biometric Identification 
650 2 |a Visual Perception 
650 2 |a Facial Expression 
650 6 |a Reconnaissance faciale (Informatique) 
650 6 |a Vision par ordinateur. 
650 6 |a Perception visuelle. 
650 6 |a Physionomie. 
650 7 |a visual perception.  |2 aat 
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650 7 |a Computer vision  |2 fast 
650 7 |a Facial expression  |2 fast 
650 7 |a Human face recognition (Computer science)  |2 fast 
650 7 |a Visual perception  |2 fast 
700 1 |a Tsihrintzis, George A. 
776 0 8 |i Print version:  |a Stathopoulou, Ioanna-Ourania.  |t Visual affect recognition.  |d Amsterdam ; Washington, DC : IOS Press, 2010  |z 9781607505969  |w (OCoLC)669738922 
830 0 |a Frontiers in artificial intelligence and applications ;  |v 214. 
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