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

 
9789811538827: Human Emotion Recognition from Face Images (Cognitive Intelligence and Robotics)
  • PublisherSpringer
  • Publication date2020
  • ISBN 10 9811538824
  • ISBN 13 9789811538827
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages283

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xix, 264 p. Hardcover. Einband...
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9789811538858: Human Emotion Recognition from Face Images (Cognitive Intelligence and Robotics)

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ISBN 10:  9811538859 ISBN 13:  9789811538858
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Dutta, Paramartha; A. Barman
Published by Singapore, Springer., 2020
ISBN 10: 9811538824 ISBN 13: 9789811538827
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xix, 264 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Cognitive intelligence and robotics. Sprache: Englisch. Seller Inventory # 9645JB

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Dutta, Paramartha; Barman, Asit
Published by Springer, 2020
ISBN 10: 9811538824 ISBN 13: 9789811538827
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Paramartha Dutta|Asit Barman
Published by Springer Singapore, 2020
ISBN 10: 9811538824 ISBN 13: 9789811538827
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the novel use of various signatures as effective features for emotion recognitionDiscusses the innovative use of associated stability to evaluate the robustness of the underlying signatureDetails an ext. Seller Inventory # 353802972

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Dutta, Paramartha; Barman, Asit
Published by Springer, 2020
ISBN 10: 9811538824 ISBN 13: 9789811538827
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Asit Barman
ISBN 10: 9811538824 ISBN 13: 9789811538827
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 the signatures 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. 284 pp. Englisch. Seller Inventory # 9789811538827

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Dutta, Paramartha; Barman, Asit
Published by Springer, 2020
ISBN 10: 9811538824 ISBN 13: 9789811538827
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Asit Barman
ISBN 10: 9811538824 ISBN 13: 9789811538827
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9789811538827

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Dutta, Paramartha/ Barman, Asit
Published by Springer-Nature New York Inc, 2020
ISBN 10: 9811538824 ISBN 13: 9789811538827
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Hardcover. Condition: Brand New. 283 pages. 9.25x6.10x9.21 inches. In Stock. Seller Inventory # x-9811538824

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