Piotraschke, Marcel: Automatic 3D face reconstruction and feature transfer. 2018
Content
- Abstract
- Zusammenfassung
- Acknowledgments
- Contents
- 1 Introduction
- 2 3D Morphable Model
- 2.1 Model Creation
- 2.2 Fitting to 2D Images
- 2.3 Illumination-corrected Texture Extraction
- 2.4 Fitting to 3D Scans
- 3 Aging Simulation with the 3D Morphable Model of Faces
- 3.1 Introduction
- 3.2 Related Work
- 3.3 Requirements
- 3.4 Acquisition of Photos and Scans
- 3.5 Combining Data from Multiple 3D Scans
- 3.6 Multiview Texture Extraction
- 3.7 Facial Expressions
- 3.8 Extracting Longitudinal Information from Photo Series
- 3.9 Synthetic Aging Simulation
- 3.10 Perception Experiments
- 3.11 Conclusions
- 4 Hallucination of Facial Texture Details
- 4.1 Introduction
- 4.2 Related Work
- 4.3 Model-based Deblurring
- 4.4 High-Resolution Texture Transfer
- 4.5 Conclusions
- 5 Automatic Initialization of the 3D Morphable Model Fitting
- 5.1 Introduction
- 5.2 Related Work
- 5.3 Automatic Initialization of the 3DMM
- 5.4 Degraded Reconstructions
- 5.5 Enhancing the Appearance of 3D Reconstructions
- 5.6 Results
- 5.7 Conclusions
- 6 Automated 3D Face Reconstruction from Multiple Images
- 6.1 Introduction
- 6.2 Related Work
- 6.3 Quality Measures
- 6.4 Evaluating the Distance Measures
- 6.5 Weighted Linear Combinations per Segment
- 6.6 Distance Measure Driven Texture Extraction
- 6.7 Results
- 6.8 Conclusions
- 7 Image-based Relighting of Faces
- 7.1 Introduction
- 7.2 Related Work
- 7.3 Realistic Inverse Lighting
- 7.4 Paint-based Lighting Design Pipeline
- 7.5 3DMM Fitting Revisited
- 7.6 Results
- 7.7 Conclusions
- 8 Conclusions
- 9 Future Work
- Appendix
- A.1 Additional Tables: Experiments on Aging Simulation
- A.2 Additional Tables: Details on Merging Segments
- List of Figures
- List of Figures
- List of Tables
- Bibliography