Nonparametric Bayesian Texture Learning and Synthesis
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Nonparametric Bayesian Texture Learning and Synthesis Leo Zhu and Bill Freeman Joint work with Chen and Torralba
description
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
Transcript of Nonparametric Bayesian Texture Learning and Synthesis
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
