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Advances in Face Detection and Facial Image Analysis

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Cover of 'Advances in Face Detection and Facial Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 A Deep Learning Approach to Joint Face Detection and Segmentation
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    Chapter 2 Face Detection Coupling Texture, Color and Depth Data
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    Chapter 3 Lighting Estimation and Adjustment for Facial Images
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    Chapter 4 Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition
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    Chapter 5 Exaggeration Quantified: An Intensity-Based Analysis of Posed Facial Expressions
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    Chapter 6 Method of Modelling Facial Action Units Using Partial Differential Equations
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    Chapter 7 Trends in Machine and Human Face Recognition
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    Chapter 8 Labeled Faces in the Wild: A Survey
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    Chapter 9 Reference-Based Pose-Robust Face Recognition
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    Chapter 10 On Frame Selection for Video Face Recognition
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    Chapter 11 Modeling of Facial Wrinkles for Applications in Computer Vision
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    Chapter 12 Communication-Aid System Using Eye-Gaze and Blink Information
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    Chapter 13 The Utility of Facial Analysis Algorithms in Detecting Melancholia
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    Chapter 14 Visual Speech Feature Representations: Recent Advances
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    Chapter 15 Extended Eye Landmarks Detection for Emerging Applications
Attention for Chapter 13: The Utility of Facial Analysis Algorithms in Detecting Melancholia
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