Téléchargez le livre : Human Emotion Recognition from Face Images

Human Emotion Recognition from Face Images

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Éditeur :

Springer


Collection :

Cognitive Intelligence and Robotics

Paru le : 2020-03-26

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Description

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition. 
The book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG. The authors present the concept of signatures for different characteristics such as distance and shape texture, and describe the use of associated stability indices as features, supplementing the feature set with statistical parameters such as range, skewedness, kurtosis, and entropy. In addition, they demonstrate that experiments with such feature choices offer impressive results, and that performance can be further improved by combining thesignatures rather than using them individually.
There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, public and private agencies. This book offers a valuable resource for researchers working in these areas.


  


    
Pages
264 pages
Collection
Cognitive Intelligence and Robotics
Parution
2020-03-26
Marque
Springer
EAN papier
9789811538827
EAN PDF
9789811538834
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
8878 Ko
Prix
179,34 €
EAN EPUB
9789811538834
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
36864 Ko
Prix
179,34 €

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