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COSC 7373
 

COSC 7373
Advanced Computer Vision

http://www.cbl.uh.edu/~7373f08

                            T, Th: 10-11:30pm PGH 200
Department of Computer Science - Uiversity of Houston

Spring 2008

GOALS

This course is designed to provide an in-depth study of selected areas in computer vision leading to the ability to understand contemporary terminology, progress, issues, and trends.

The interdisciplinary nature of biomedical image analysis is emphasized in the wide variety of examples and applications presented with both slide and video materials.

This semester we will focus on

  • Graph Cuts
  • Wavelets
  • Mixture Models
  • Expectation Maximization (EM)
  • Markov Chain Monte Carlo (MCMC)
  • Graphical Models -
  • Energy Minimization Methods
  • Level Sets
  • Deformable Models
  • ASM, AAM
  • Registration
  • Fuzzy Connectedness
  • Mean Shift Algorithm
  • Mathematical Morphology
  • Boosting, Adaboost
  • Kalman Filter
  • Particle Filters

EVALUATION

Homeworks 70%
Team Project 20%
Class Participation 10%

INSRUCTOR

Prof. Ioannis A. Kakadiaris
Department of Computer Science, University of Houston
209 Philip G. Hoffman (PGH) Hall
Tel: (713) 743-1255
Email: ioannisk@uh.edu
URL: http://www.cbl.uh.edu/