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Nonparametric Bayesian Texture Learning and Synthesis. Leo Zhu and Bill Freeman Joint work with Chen and Torralba. Outline. Task: Texture Learning and Synthesis Approach: Nonparametric Bayesian Learning and Image Quilting Texture Model: Hierarchical Dirichlet Process + 2D-HMM. - PowerPoint PPT Presentation
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Nonparametric Bayesian Texture Learning and Synthesis
Leo Zhu and Bill FreemanJoint work with Chen and Torralba
Outline
• Task: Texture Learning and Synthesis• Approach: Nonparametric Bayesian Learning
and Image Quilting• Texture Model: Hierarchical Dirichlet Process +
2D-HMM
Texture Analysis and Synthesis
Input Texture
Texture Synthesis
Texture Analysis
Flow Chart
Image Features: Filter Responses
Graphical Model: HDP + 2D-HMM
Learning
Result I: Regular Texture
Result II: Stochastic Texture
Result III: Mixture Texture (natural)
Applications: Aerial Image Analysis
• Automatic terrain categorization and annotation
• Fast satellite map synthesis• Satellite map compression• Fake/random map generation
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