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Table of contents
Chapter 1
Theoretical Background
1.1 Understanding of Facial Growth
1.2 Theory of Maturation in Facial Ageing
1.2.1 Structural Components of Facial Ageing
1.2.1.1 Skeletal Structure
1.2.1.2 Fat Structure
1.2.1.3 Skin Structure
1.3 Facial Ageing from Computer Vision Standpoint
1.3.1 State-of-the-Art on Backward Face Ageing Models
1.3.2 State-of-the-Art on Forward Face Ageing Models
1.4 Conclusion
Chapter 2
3D Face Representation Fundamentals
2.1 3D Acquisition Techniques
2.1.1 Active
2.1.2 Passive
2.2 3D Face Reconstruction and Modeling
2.3 Fundamentals of 3D Object Representation
2.3.1 3D Face Representation
2.3.1.1 Face Mesh
2.3.1.2 Face Texture UV map
2.4 3D Face Databases
2.4.1 Overview of Existing 3D Face Databases
2.4.2 Proposed 3D Face Database
2.4.3 Proposed Acquisition Protocol
2.5 Conclusion
Chapter 3
The Morphable 3D Backward Facial Ageing Model (3D B-FAM): De-ageing Model
3.1 Age Group Definition
3.2 Facial Features and Geometric Measurements
3.3 3D Face Template Construction and Selection
3.4 3D De-ageing Model Development
3.4.1 Mesh and Texture based Face Morphing
3.5 Performance Evaluation
3.5.1 Texture Similarity Evaluation (SSIM)
3.5.2 Geometric Distortion Evaluation (MSDM)
3.5.3 Face Landmarks Metric
3.6 Experimental Results
3.6.1 Face Rendering using 3D B-FAM
3.6.2 GPM Discussion
3.6.3 Performance Comparison
3.6.4 Discussion on Potential Applications
3.7 Conclusion
Chapter 4
The Morphable 3D Forward Facial Ageing Model (3D F-FAM): Ageing Model
4.1 3D Forward Ageing Model Development
4.1.1 Age Groups and Sub-groups
4.1.2 Facial Features Measurements
4.1.3 3D Face Template Construction and Selection
4.2 Performance Evaluation Mode
4.3 Experimental Results
4.3.1 3D Face Rendering using 3D F-FAM
4.3.2 GPM Discussion
4.4 Impact of Ageing on 3D Facial Verification Application
4.5 Conclusion
Chapter 5
3D Face Shape Model and the Analysis of Drug Impact on Facial Asymmetry
5.1 Impact of Factors on Facial Ageing
5.1.1 Extrinsic Factor
5.1.2 Intrinsic Factors
5.2 3D Dynamic Shape Model (FT2M)
5.2.1 Face Time Machine Matrix Model
5.2.2 Experimental Results
5.2.3 Performance Evaluation
5.3 Global Impact of Methamphetamine on Facial Appearance
5.3.1 Methamphetamine Effects on Face Asymmetry
5.3.2 Illicit Drug Addicts Database
5.3.3 Facial Asymmetry Measurement
5.3.3.1 Textural Asymmetry Assessment
5.3.3.2 Morphological Asymmetry Assessment
5.3.4 Statistical Analysis on 3D Drug Addicts Database
5.4 Drug-addict Face Simulation
5.5 Conclusion
Chapter 6
Conclusion and Perspectives
