3D face modeling, analysis and recognition
著者
書誌事項
3D face modeling, analysis and recognition
Wiley, 2013
- タイトル別名
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Three dimensional face modeling, analysis and recognition
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
Other editors: Anuj Srivastava, Remco Veltkamp
内容説明・目次
内容説明
3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further.
The book covers face acquisition through 3D scanners and 3D face pre-processing, before examining the three main approaches for 3D facial surface analysis and recognition: facial curves; facial surface features; and 3D morphable models. Whilst the focus of these chapters is fundamentals and methodologies, the algorithms provided are tested on facial biometric data, thereby continually showing how the methods can be applied.
Key features:
* Explores the underlying mathematics and will apply these mathematical techniques to 3D face analysis and recognition
* Provides coverage of a wide range of applications including biometrics, forensic applications, facial expression analysis, and model fitting to 2D images
* Contains numerous exercises and algorithms throughout the book
目次
Preface ix
List of Contributors xiii
1 3D Face Modeling 1
Boulbaba Ben Amor, Mohsen Ardabilian and Liming Chen
1.1 Challenges and Taxonomy of Techniques 2
1.2 Background 3
1.3 Static 3D Face Modeling 7
1.4 Dynamic 3D Face Reconstruction 14
1.5 Summary and Conclusions 31
Exercises 33
References 35
2 3D Face Surface Analysis and Recognition Based on Facial Surface Features 39
Faisal Radhi M. Al-Osaimi and Mohammed Bennamoun
2.1 Geometry of 3D Facial Surface 39
2.2 Curvatures Extraction from 3D Face Surface 53
2.3 3D Face Segmentation 57
2.4 3D Face Surface Feature Extraction and Matching 59
2.5 Deformation Modeling of 3D Face Surface 71
Exercises 73
References 74
3 3D Face Surface Analysis and Recognition Based on Facial Curves 77
Hassen Drira, Stefano Berretti, Boulbaba Ben Amor, Mohamed Daoudi, Anuj Srivastava, Alberto del Bimbo and Pietro Pala
3.1 Introduction 77
3.2 Facial Surface Modeling 78
3.3 Parametric Representation of Curves 80
3.4 Facial Shape Representation Using Radial Curves 81
3.5 Shape Space of Open Curves 81
3.6 The Dense Scalar Field (DSF) 90
3.7 Statistical Shape Analysis 94
3.8 Applications of Statistical Shape Analysis 98
3.9 The Iso-geodesic Stripes 103
Exercises 114
Glossary 116
References 117
4 3D Morphable Models for Face Surface Analysis and Recognition 119
Frank B. ter Haar and Remco Veltkamp
4.1 Introduction 120
4.2 Data Sets 121
4.3 Face Model Fitting 122
4.4 Dynamic Model Expansion 129
4.5 Face Matching 141
4.6 Concluding Remarks 144
Exercises 145
References 146
5 Applications 149
Stefano Berretti, Boulbaba Ben Amor, Hassen Drira, Mohamed Daoudi, Anuj Srivastava, Alberto del Bimbo and Pietro Pala
5.1 Introduction 149
5.2 3D Face Databases 150
5.3 3D Face Recognition 157
5.4 Facial Expression Analysis 170
5.5 4D Facial Expression Recognition 184
Exercises 192
Glossary 193
References 198
Index 203
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