Representation and Modeling for Image Analysis

Readings

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 #	TOPICS	Assigned Readings	Optional READINGS
1	Introduction, Tutorial on PCA
2	Eigenfaces	Face Recognition using Eigenfaces (PDF)	Nonlinear Component Analysis as a Kernel Eigenvalue Problem
3	Active Appearance Models	Active Appearance Models	Tim Cootes’ Web site
4	Tutorial on EM	The EM Algorithm (PS)	EM as Lower Bound (PDF) A Gentle Tutorial of the EM Algorithm
5	Learning Flexible Sprites in Video Layers	Learning Flexible Sprites in Video Layers	Papers by Tom Minka Smoothness in Layers
6	LLE and other Manifold Learning Methods	Nonlinear Dimensionality Reduction by Locally Linear Embedding	Global Coordination of Local Linear Models Sam T. Roweis’ Web site Face Recognition in Subspaces
7	EM Segmentation	EM Segmentation of MRI Images	Another EM Segmentation Paper (PDF - 1.1 MB)
8	Tutorial on Calculus of Variations
9	Mumford-Shah	Mumford, D., and J. Shah. “Boundary Detection by Minimizing Functionals, i.” In Proc. IEEE Conf. on Computer Vision & Pattern Recognition, San Francisco, CA, 1985.
10	Snakes	Kass, Michael, Andrew Witkin, and Demetri Terzopoulos. “Snakes: Active Contour Models.” Int. J. of Computer Vision 1, no. 4 (1987).
11	Geodesic Active Contours	Geodesic Active Contours	Region-Based Curve Evolution
12	Shape Based Curve Evolution	Shape Based Curve Evolution 1
13	Tutorial on Clustering
14	Spectral Clustering	Spectral Clustering	Clustering using Eigenvectors
15	Normalized Cuts	Normalized Cuts
16	Graph Cuts for Energy Minimization	Graph Cuts for Energy Minimization
17	Belief Propagation	Understanding Belief Propagation and its Generalizations	Stereo Matching using Belief Propagation Learning Low-Level Vision Wainwright and Jordan Variational Methods Tech Report (PS)
18	SIFT	SIFT
19	Constellation Model	Constellation Model	Recent Application of Constellation Models
20	Shape Context	Shape Context
21	Local Descriptors
22	Object Recognition
23	Finite Element Models	Finite Element Models	Estimating Non-rigid Motion Later Paper Parametric Model of Non-rigid Motion
24	Non-rigid Registration using B-splines	Non-rigid Registration using B-splines	B-splines1 B-splines2 Thin Plate Splines Diffeomorphic ASM Curves of Least Energy
25	Belief Propagation in Image Analysis
26	Doing Photogrammetry Right