ECSE 626. Statistical Computer Vision.
Credits: 4
Offered by: Electrical & Computer Engr (Graduate Studies)
Terms offered: Fall 2026
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Description
An overview of statistical and machine learning techniques as applied to computer vision problems, including: stereo vision, motion estimation, object and face recognition, image registration and segmentation. Topics include regularization, probabilistic inference, information theory, Gaussian Mixture Models, Markov-Chain Monte Carlo methods, importance sampling, Markov random fields, principal and
independent components analysis, probabilistic deep learning methods including variational models, Bayesian deep learning.
- (3-0-9)
- Prerequisites: (ECSE 205 or equivalent) and (ECSE 415 or COMP 558 or equivalent).