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
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Prerequisite
Fulfill ANY of the following requirements:
Complete ALL of the following Courses:
- 01499-002
OR
Complete ALL of the following Courses:
- 01499-002
AND 13764-000
AND 13765-000
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
