Selected topics in the following list will be taught. We will try to match the topics to the students' research areas.
Problem Formulation
formal problem definition, ideal solutions,
problem solving, performance evaluation
Vector Space Approach
vector space representation, principal compoments,
dimensionality reduction, Gaussian mixture,
matching in vector space
ExemplarBased Approach
exemplars, nonEuclidean distance measures,
nearestneighbor method, kmedoids clustering
Rigid Model Approach
rigid and affine transformations for 3D objects,
3D object warping, 3D object matching
Deformable Model Approach
warping, elastic snakes and superquadrics, energy minimization
method,
active shape model, active appearance model, level set, Laplacian deformation
Video Analysis
tracking, Kalman filtering, particle filtering, dynamic time warping
Discrete Model Approach
graph model, bestmatching subgraph, bipartite
graph algorithm, subgraph isomorphism,
conceptual graphs, fuzzy conceptual graphs, errorcorrecting subgraph isomorphism
Putting Things Together...
similarities and differences, strengths and
weaknesses, relating to other methods,
integrating various approaches
