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Lecture 11-12 (1.5 hours)Segmentation

– Markov Random Fields

Tae-Kyun Kim

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Graphical Models

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Bayesian Networks

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Examples

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Polynomial curve fitting (recap)

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Conditional Independence

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This will help graph separation or factorization, then inference.

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Markov Random Fields

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Markov Random Fields for Image De-noising

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Image De-Noising Demo

http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/AV0809/ORCHARD/