CSE 576 Image Understanding
Syllabus: Autumn 2002
Office: 214 Sieg, Phone: 206-543-2196, Email: shapiro@cs.washington.edu
TA: Ian Simon
Office: 429 Sieg, Email: iansimon@u
Purpose of Course:
To introduce the topic of Computer Vision to PMP students. The course
will discuss all three levels of computer vision: low-level vision or
early processing, mid-level vision or feature extraction, and
high-level vision or analysis.
Text: Computer Vision, Shapiro and Stockman, Prentice-Hall, 2001
Errata can be found on
Stockman's web site.
We will also read some research papers.
Topics:
- Basics
- Ch 1 Introduction
- Ch 2 Imaging and Image Representation
- Ch 3 Binary Image Analysis
- Ch 4 Pattern Recognition Concepts
- Features for Recognition
- Ch 6 Color
- Ch 7 Texture
- Ch 8 Content-Based Image Retrieval
- Ch 9 Motion
- Ch 10 Image Segmentation
- Analysis
- Ch 11 Matching in 2D
- Ch 12 Perceiving 3D from 2D Images
- Ch 13 3D Sensing
- Ch 14 3D Models and Matching
- Case Studies (Selected Papers)
Evaluation:
The grades will be based on a combination of homework assignments,
midterm, and final. The assignments will be programming projects of
1-3 week duration. Several packages will be available for basic
image analysis operations. The TA will provide help with this aspect
of the course.