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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Washington, D.C. :
IOS Press,
2010.
|
| Colección: | Frontiers in artificial intelligence and applications. Knowledge-based intelligent engineering systems ;
v. 214. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 008 | 100617s2010 dcua ob 000 0 eng d | ||
| 010 | |z 2010930894 | ||
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| 037 | |a 978-1-60750-597-6 |b IOS Press |n http://www.iospress.nl | ||
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| 072 | 7 | |a COM |x 016000 |2 bisacsh | |
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| 049 | |a UAMI | ||
| 100 | 1 | |a Stathopoulou, Ioanna-Ourania. | |
| 245 | 1 | 0 | |a Visual affect recognition / |c Ioanna-Ourania Stathopoulou and George A. Tsihrintzis. |
| 260 | |a Washington, D.C. : |b IOS Press, |c 2010. | ||
| 300 | |a 1 online resource (xx, 247 pages) : |b illustrations (chiefly color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Frontiers in artificial intelligence and applications. Knowledge-based intelligent engineering systems, |x 0922-6389 ; |v v. 214 | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | 0 | |g Machine generated contents note: |g 1.1. |t Motivation -- |g 1.2. |t Organization of this monograph -- |g 2.1. |t Emotion vs affect vs feelings -- |g 2.2. |t Emotions and culture -- |g 2.2.1. |t Basic Emotions -- |g 2.2.2. |t Culturally Specific Expressions of Emotions -- |g 2.2.3. |t Higher Cognitive Emotions -- |g 2.3. |t Neurobiology and Emotion Expression -- |g 2.3.1. |t Cerebral Cortex -- |g 2.3.2. |t Amygdala -- |g 2.3.3. |t Superior Temporal Sulcus -- |g 2.3.4. |t Implicit and Explicit Perception of Emotion -- |g 2.4. |t Expression of Emotion -- |g 2.4.1. |t Written Language -- |g 2.4.2. |t Speech -- |g 2.4.3. |t Facial Expressions -- |g 2.4.4. |t Body movements and Hand gestures -- |g 2.5. |t Facial Expression of Emotion -- |g 2.5.1. |t Previous Attempts to Facial Emotion Quantification and Classification -- |g 2.5.2. |t External Factors in Facial Emotion Perception -- |g 2.5.3. |t Face and Facial Expressions Their Role -- |g 2.6. |t Importance of Understanding Emotions -- |g 2.7. |t Meeting Emotional Needs with the Help of Advanced Human-Computer Interaction Techniques -- |g 2.7.1. |t Supporting emotional skill needs -- |g 2.7.2. |t Supporting experiential needs -- |g 3.1. |t Face Databases -- |g 3.1.1. |t Specifying Requirements for an Ideal Facial Expression Database -- |g 3.1.2. |t Previous Facial Expression Databases -- |g 3.1.3. |t Section Summary -- Results -- |g 3.2. |t Face Detection -- |g 3.2.1. |t Specifying Requirements for an Ideal Face Detection System -- |g 3.2.2. |t Previous Works on Face Detection -- |g 3.2.3. |t Section Summary -- Results -- |g 3.3. |t Facial Expression Classification System -- |g 3.3.1. |t Specifying Requirements for our Facial Expression Classification System -- |g 3.3.2. |t Facial Expression Classification Approaches -- |g 3.3.3. |t Section Summary -- Results -- |g 4.1. |t Database of Low Quality Face Images (DBLQFI) -- |g 4.2. |t Database of High Quality Face Images (DBHQFI) -- |g 5.1. |t Preliminary Questionnaires -- |g 5.2. |
| 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 ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Visual perception. | |
| 650 | 0 | |a Facial expression. | |
| 650 | 0 | |a Emotions |x Physiological aspects. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 6 | |a Vision par ordinateur. | |
| 650 | 6 | |a Perception visuelle. | |
| 650 | 6 | |a Physionomie. | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a visual perception. |2 aat | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a COMPUTERS |x Computer Vision & Pattern Recognition. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Computer vision |2 fast | |
| 650 | 7 | |a Emotions |x Physiological aspects |2 fast | |
| 650 | 7 | |a Facial expression |2 fast | |
| 650 | 7 | |a Pattern recognition systems |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 Washington, D.C. : IOS Press, 2010 |w (DLC) 2010930894 |
| 830 | 0 | |a Frontiers in artificial intelligence and applications. |p Knowledge-based intelligent engineering systems ; |v v. 214. |x 0922-6389 | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1640885 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL1640885 | ||
| 938 | |a ebrary |b EBRY |n ebr10425039 | ||
| 938 | |a YBP Library Services |b YANK |n 3519561 | ||
| 994 | |a 92 |b IZTAP | ||