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Machine Learning for Face, Emotion, and Pain Recognition.

Author: Gholamreza Anbarjafari; Pejman Rasti; Fatemeh Noroozi
Publisher: Bellingham : Society of Photo-Optical Instrumentation Engineers (SPIE), 2018.
Series: Spotlight.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Anbarjafari, Gholamreza.
Machine Learning for Face, Emotion, and Pain Recognition.
Bellingham : Society of Photo-Optical Instrumentation Engineers (SPIE), ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Gholamreza Anbarjafari; Pejman Rasti; Fatemeh Noroozi
ISBN: 9781510619869 1510619860
OCLC Number: 1046621994
Description: 1 online resource (107 pages)
Contents: Intro; Copyright; Series Page; Preface; 1 Introduction; 2 Face Recognition; 2.1 Introduction; 2.1.1 History of face recognition; 2.1.2 Contributions; 2.1.3 Overview; 2.2 Conventional and state-of-the-art techniques in face recognition; 2.2.1 Correlation; 2.2.2 Principal component analysis; 2.2.3 Linear space; 2.2.4 Linear discriminant analysis; 2.2.5 Independent component analysis; 2.2.6 Other conventional methods in face recognition; 2.2.7 Non-negative matrix factorization; 2.2.8 Incremental non-negative matrix factorization; 2.3 PDF-based face recognition. 2.3.1 Previous face-recognition system featuring a PDF2.3.2 Chromatic-histogram-based human face tracking; 2.3.3 Local binary pattern for face recognition; 2.3.4 Histogram-based face recognition; 2.3.5 PDF-based face recognition; 2.4 Data fusion; 2.4.1 Reasons for using ensemble-based systems; 2.4.2 History of ensemble systems; 2.4.3 Converting KLD values into probability values; 2.4.4 Majority voting; 2.4.5 Sum and mean rule; 2.4.6 Weighted sum rule; 2.4.7 Minimum/maximum/median rule; 2.4.8 Product rule; 2.4.9 Feature vector fusion; 3 Emotion Recognition; 3.1 Speech-based emotion recognition. 3.1.1 Speech-based emotion-recognition elements3.2 Other modalities; 3.2.1 Text-based emotion recognition; 3.2.2 EEG-based emotion recognition; 3.3 Gesture-based emotion recognition; 3.3.1 Affect detection from body gestures; 3.3.2 General structure of body-gesture-recognition methods; 3.3.3 Feature extraction; 3.3.4 Classification methods; 3.4 Facial expression recognition; 3.4.1 Measurement of facial expression; 3.4.2 Feature extraction for facial expression analysis; 3.4.3 Classification; 3.4.4 3-D facial expression recognition; 4 Pain Recognition; 5 Face Databases; 5.1 Elicitation methods. 5.1.1 Posed5.1.2 Induced; 5.1.3 Spontaneous; 5.2 Categories of emotion; 5.3 Database types; 5.3.1 Static databases; 5.3.2 Video databases; 5.3.3 Miscellaneous databases; 5.4 Pain databases; Acknowledgments; References; Author Biographies.
Series Title: Spotlight.

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