Human Emotion Recognition from Face Images (Cognitive Intelligence and Robotics) - Image 1

£141.13

Springer Human Emotion Recognition from Face Images (Cognitive Intelligence and Robotics)

Name: Human Emotion Recognition from Face Images (Cognitive Intelligence and Robotics)
Brand: Springer
Price: 141.13 GBP
Availability: InStock

AI & Machine Learning

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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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9811538824
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 27 March 2020
Listed Since: 16 February 2020

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Springer Human Emotion Recognition from Face Images (Cognitive Intelligence and Robotics)

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