Courses:

Representation and Modeling for Image Analysis >> Content Detail



Study Materials



Readings

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Students are expected to have completed the assigned readings before the beginning of class. Assigned readings are required whereas optional readings provide additional background on the lecture topic.


LEC #TOPICSAssigned ReadingsOptional READINGS
1Introduction, Tutorial on PCA
2EigenfacesFace Recognition using Eigenfaces (PDF)
3Active Appearance ModelsActive Appearance Models
4Tutorial on EMThe EM Algorithm (PS)
5Learning Flexible Sprites in Video LayersLearning Flexible Sprites in Video Layers
6LLE and other Manifold Learning MethodsNonlinear Dimensionality Reduction by Locally Linear Embedding
7EM SegmentationEM Segmentation of MRI Images
8Tutorial on Calculus of Variations
9Mumford-ShahMumford, D., and J. Shah. "Boundary Detection by Minimizing Functionals, i." In Proc. IEEE Conf. on Computer Vision & Pattern Recognition, San Francisco, CA, 1985.
10SnakesKass, Michael, Andrew Witkin, and Demetri Terzopoulos. "Snakes: Active Contour Models." Int. J. of Computer Vision 1, no. 4 (1987).
11Geodesic Active ContoursGeodesic Active Contours
12Shape Based Curve EvolutionShape Based Curve Evolution 1
13Tutorial on Clustering
14Spectral ClusteringSpectral Clustering
15Normalized CutsNormalized Cuts
16Graph Cuts for Energy MinimizationGraph Cuts for Energy Minimization
17Belief PropagationUnderstanding Belief Propagation and its Generalizations
18SIFTSIFT
19Constellation ModelConstellation Model
20Shape ContextShape Context
21Local Descriptors
22Object Recognition
23Finite Element ModelsFinite Element Models
24Non-rigid Registration using B-splinesNon-rigid Registration using B-splines
25Belief Propagation in Image Analysis
26Doing Photogrammetry Right

 








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