C S 450
Computer Vision
Computer Science
College of Physical and Mathematical Sciences
Course Description
Introduction to fundamental concepts and algorithms of computer vision, including feature extraction, detection, segmentation, registration, recognition, motion, 3D vision, and image understanding. Applies techniques from image processing, geometry, Bayesian methods, optimization, and machine learning to computer vision problems.
When Taught
Winter
Grade Rule
Grade Rule 8: A, B, C, D, E, I (Standard grade rule)
Min
3
Fixed
3
Fixed
3
Fixed
0
Recommended
Stat 121 or Stat 201
Title
Introduction to Digital Signal and Image Processing
Learning Outcome
Understand and apply the following:
Sampling and quantization of image information
Camera properties and the acquisition of images
Mathematics of image-space transformations
Fourier transforms and filtering
