l01 - 6.881 Representation and Modeling for Image Analysis...

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6.881 Representation and Modeling for Image Analysis Instructor: Polina Golland
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Goals Learn useful mathematical techniques Read vision papers that use them Old and new “classics” Practice Presenting work Writing/reviewing papers Understand the interconnectedness of everything 02/02/05 6.881 2
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Syllabus • Subspace (Manifold) learning – Theory: PCA – Applications: Eigen faces, Active Shape & Active Appearance Models. – Additional topics: kernel PCA, LLE • Boundary Detection – Theory: Calculus of variations – Applications: Mumford-Shah functional, active contours: snakes and level sets • EM: – Theory: EM algorithm – Applications: segmentation, tracking 02/02/05 6.881 3
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Syllabus cont’d • Graph algorithms – Theory: Graph cut algorithms – Applications: segmentation, stereo • Clustering – Theory: hierarchical, k-means, spectral – Applications: grouping in images • Graphical Models – Theory: MRFs, inference in graphical models – Applications: regularization, part/layer models 02/02/05 6.881 4
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l01 - 6.881 Representation and Modeling for Image Analysis...

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