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Graphical Model MAP Inference with Continuous Label Space in Computer Vision / Titelei/Inhaltsverzeichnis
Graphical Model MAP Inference with Continuous Label Space in Computer Vision / Titelei/Inhaltsverzeichnis
Contents
Chapter
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Page
I–XIV
Titelei/Inhaltsverzeichnis
I–XIV
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1–14
1 Introduction
1–14
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1.1 Motivation
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1.2 Contributions
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1.3 Structure of the thesis
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1.4 List of Publications
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15–24
2 Related Work
15–24
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2.1 Object Tracking
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2.2 Approximate MAP Inference in Probabilistic Graphical Models
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25–55
3 Fundamentals
25–55
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3.1 Notations
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3.2 Probabilistic Graphical Models
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3.2.1 Bayes Network
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3.2.2 Markov RandomField
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3.2.3 Factor Graph
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3.3 Inference in Probabilistic Graphical Models
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3.3.1 Max-Product Belief Propagation
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3.3.2 Max-Product Loopy Belief Propagation
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3.3.3 DualMethods
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3.4 Markov ChainMonte-CarloMethods
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3.4.1 Metropolis-Hastings Sampler
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3.4.2 Gibbs Sampler
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3.4.3 Slice Sampler
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3.5 Max-Product Particle Belief Propagation
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56–77
4 Stochastic Inference in Probabilistic Graphical Models
56–77
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4.1 Slice-Sampling Particle Max-Product
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4.1.1 Sampling from Product-Max Distributions
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4.1.2 ParticleMax-Product
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4.1.3 Computing the Slice Regions
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4.1.4 RandomWalk Analysis
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4.2 Tree-Reweighted ParticleMax-Product
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4.2.1 Diverse Particle Selection
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4.2.2 Heuristic Proposals versus Slice-Sampling
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4.3 Discussion
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78–106
5 Tracking
78–106
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5.1 Part-Based Template Tracking
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5.1.1 Inference
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5.1.2 Experiments
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5.1.3 Discussion
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5.2 Object Tracking Demonstrator
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5.3 Joint Tracking and Segmentation
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5.3.1 Joint Pose Estimation and Segmentation
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5.3.2 Dual Decomposition
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5.3.3 Visibility Estimation
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5.3.4 Experiments
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5.3.5 Summary
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107–110
6 Conclusions
107–110
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6.1 FutureWork
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111–127
A Appendix
111–127
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A.1 Optical Coherence Tomography
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A.1.1 ProblemSetup
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A.1.2 Motion Compensation
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A.1.3 OCT Image Undistortion
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128–146
Bibliography
128–146
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Graphical Model MAP Inference with Continuous Label Space in Computer Vision , page I - XIV
Titelei/Inhaltsverzeichnis
Autoren
Oliver Müller
DOI
doi.org/10.51202/9783186860101-I
ISBN print: 978-3-18-386010-4
ISBN online: 978-3-18-686010-1
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doi.org/10.51202/9783186860101-I
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