3D face modeling, analysis, and recognition

A common question to many researchers is whether a computer vision system can process and analyze 3D face as the human vision system does. In addition to understanding human cognition, there is also increasing interest in analyzing shapes of facial surfaces for developing applications such as biometrics, human–computer interaction (HCI), facial surgery, video communications, and 3D animation. Contents 1 3D Face Modeling 1.1 Challenges and Taxonomy of Techniques 1.2 Background 1.3 Static 3D Face Modeling 1.4 Dynamic 3D Face Reconstruction 1.5 Summary and Conclusions 2 3D Face Surface Analysis and Recognition Based on Facial Surface Features 2.1 Geometry of 3D Facial Surface 2.2 Curvatures Extraction from 3D Face Surface 2.3 3D Face Segmentation 2.4 3D Face Surface Feature Extraction and Matching 2.5 Deformation Modeling of 3D Face Surface 3 3D Face Surface Analysis and Recognition Based on Facial Curves 3.1 Introduction 3.2 Facial Surface Modeling 3.3 Parametric Representation of Curves 3.4 Facial Shape Representation Using Radial Curves 3.5 Shape Space of Open Curves 3.6 The Dense Scalar Field (DSF) 3.7 Statistical Shape Analysis 3.8 Applications of Statistical Shape Analysis 3.8.2 Hierarchical Organization of Facial Shapes 3.9 The Iso-geodesic Stripes 4 3D Morphable Models for Face Surface Analysis and Recognition 4.1 Introduction 4.2 Data Sets 4.3 Face Model Fitting 4.4 Dynamic Model Expansion 4.5 Face Matching 4.6 Concluding Remarks 5 Applications 5.1 Introduction 5.2 3D Face Databases 5.3 3D Face Recognition 5.4 Facial Expression Analysis 5.5 4D Facial Expression Recognition 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

"[This book] 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." (source : 4ème de couv.) Presents methodologies for modeling, analysis and recognition of shapes of facial surfaces, from fundamental ideas in geometry and shape analysis, to cutting-edge applications This text 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 hav 3D Face Modeling, Analysis and Recognition presents methodologies for modeling, analysis, and recognition of shapes of facial surfaces, from fundamental ideas in geometry and shape analysis, to cutting-edge applications, including biometrics, 3D animation, facial surgery, forensics, and video communications.