Credits: 3
Description
Prerequisite: ENEE631 and ENEE633.
Credit only granted for: ENEE739J or ENEE731.
Formerly: ENEE739J.
An advanced graduate level course on image understanding. Mathematical and statistical approaches to solving image understanding problems will be discussed. Topics to be covered include: optimal edge and shape detection; image understanding using Markov random field models; Monte Carlo Markov Chain techniques for image understanding; shape from shading, stereo, texture and contour; structure from motion and object recognition. Existence, uniqueness and convergence issues for many of these problems will be discussed.
Semesters Offered
Fall 2018
Testudo