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Human Pose Estimation from Monocular Images / Titelei/Inhaltsverzeichnis
Human Pose Estimation from Monocular Images / Titelei/Inhaltsverzeichnis
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I–XIV
Titelei/Inhaltsverzeichnis
I–XIV
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1–16
1 Introduction
1–16
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1.1 Applications and Commercial Systems
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1.2 Image-based Motion Capture
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1.3 Contributions
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1.3.1 Time Consistent Human Motion Reconstruction
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1.3.2 RepNet
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1.4 Structure of the Thesis
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1.5 List of Publications
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1.5.1 Human Motion Capture
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1.5.2 Other Publications
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17–21
2 Related Work
17–21
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2.1 Non-rigid Structure-from-Motion
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2.2 Single Image Approaches
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2.2.1 Reprojection Error Optimization
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2.2.2 Direct Inference using Neural Networks
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2.3 Time Consistent Human Motion Capture
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22–39
3 Fundamentals
22–39
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3.1 Camera Models
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3.1.1 Projective Transformations
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3.1.2 Intrinsic Parameters
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3.1.3 Extrinsic Parameters
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3.1.4 Simplified Camera Models
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3.2 Human Pose Representations
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3.2.1 Coordinate-based Representations
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3.2.2 Surface Mesh-based Representations
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3.2.3 Subspaces of Human Poses
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3.3 Non-Rigid Structure from Motion
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3.4 Error Metrics
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3.5 Datasets
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40–79
4 Exploiting Temporal Properties
40–79
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4.1 Periodic and Non-periodic Constraints
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4.1.1 Factorization model
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4.1.2 Camera Parameter Estimation
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4.1.3 Periodic Motion
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4.1.4 Non-Periodic Motion
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4.1.5 Algorithm
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4.1.6 Experimental Results
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4.1.7 Conclusion
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4.2 A Novel Kinematic Chain Space
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4.2.1 Estimating Camera and Shape
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4.2.2 Kinematic Chain Space
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4.2.3 Trace Norm Constraint
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4.2.4 Camera
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4.2.5 Algorithm
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4.2.6 Experiments
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4.2.7 Conclusion
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80–96
5 Single Image Reconstruction Using Adversarial Training
80–96
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5.1 Method
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5.2 Pose and Camera Estimation
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5.3 Reprojection Layer
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5.4 Critic Network
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5.5 Camera
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5.6 Data Preprocessing
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5.7 Training
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5.8 Results
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5.8.1 Quantitative Evaluation on Human3.6M
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5.8.2 Quantitative Evaluation on MPI-INF-3DHP
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5.8.3 Plausibility of the Reconstructions
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5.8.4 Noisy observations
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5.8.5 Qualitative Evaluation
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5.8.6 Conclusion
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97–100
6 Conclusions
97–100
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101–116
Bibliography
101–116
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Human Pose Estimation from Monocular Images , page I - XIV
Titelei/Inhaltsverzeichnis
Autoren
Bastian Wandt
DOI
doi.org/10.51202/9783186869104-I
ISBN print: 978-3-18-386910-7
ISBN online: 978-3-18-686910-4
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doi.org/10.51202/9783186869104-I
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