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Human Emotion Recognition from Face Images

By (author) Paramartha Dutta, By (author) Asit Barman

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normal price: R 6 071.95

Price: R 5 464.95


| book 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 details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer Verlag, Singapore
Published date | 27 Mar 2021
Language |
Format | Paperback / softback
Pages | 264
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8115-3885-8
Readership Age |
BISAC | computers / social aspects / human-computer interaction


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 7 690.95
Price | R 6 921.95 | on special |



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