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Representation and Modeling for Image Analysis >> Content Detail



Lecture Notes



Lecture Notes

LEC #TOPICS
1Introduction, Tutorial on PCA (PDF)
2Eigenfaces (PDF)
3Active Appearance Models
4Tutorial on EM
5Learning Flexible Sprites in Video Layers
6LLE and other Manifold Learning Methods
7EM Segmentation
8Tutorial on Calculus of Variations
9Mumford-Shah
10Snakes
11Geodesic Active Contours
12Shape Based Curve Evolution (PDF)
13Tutorial on Clustering
14Spectral Clustering
15Normalized Cuts
16Graph Cuts for Energy Minimization
17Belief Propagation (PDF)
18SIFT
19Constellation Model
20Shape Context
21Local Descriptors
22Object Recognition
23Finite Element Models
24Non-rigid Registration using B-splines
25Belief Propagation in Image Analysis
26Doing Photogrammetry Right

 








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