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Springer - Human Emotion Recognition from Face Images Book

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Description

Explore the technical foundations of facial expression recognition with this Springer publication from the Cognitive Intelligence and Robotics series. This book examines how different modalities can be used to identify human emotions through face images. It provides a detailed look at essential technical components including grid formation, distance signatures, shape signatures, and texture signatures. The text covers critical processes such as feature selection, classifier design, and the integration of various signatures to improve recognition accuracy. Readers will learn how six basic human emotions are identified across different face images of a single person. Additionally, the book utilizes data from recognized benchmark face image databases, including CK+, JAFFE, MMI, and MUG, to demonstrate these advanced recognition concepts.

Key Features

This Springer book covers key topics in facial expression recognition such as grid formation and feature selection.

Learn about different modalities including distance, shape, and texture signatures used to improve emotion recognition.

The text explains how to recognize six basic human emotions using various face images of the same person.

Content includes practical applications using benchmark face image databases like CK+, JAFFE, MMI, and MUG.

Part of the Cognitive Intelligence and Robotics series for advanced study in computer science and AI.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 March 2021
Listed Since
28 February 2021

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