Computer Vision (CSE 490CV, EE400B)
Staff | ||
Prof: Steve Seitz (seitz@cs ) | ||
TA: Li Zhang (lizhang@cs) | ||
Web Page | ||
http://www.cs.washington.edu/education/courses/cse490cv/02wi/ | ||
Handouts | ||
course info | ||
survey, due Friday | ||
readings | ||
account forms | ||
Overview of Computer Vision | |||
Overview of Course | |||
Image Filtering | |||
Readings for this week | |||
Forsyth & Ponce, chapters 8.1-8.2 | |||
http://www.cs.washington.edu/education/courses/490cv/02wi/readings/book-7-revised-a-indx.pdf | |||
Watt, 10.3-10.4 (handout) | |||
Cipolla and Gee (handout) | |||
supplemental: Forsyth, chapter 9 | |||
Intelligent Scissors | |||
http://www.cs.washington.edu/education/courses/490cv/02wi/readings/book-7-revised-a-indx.pdf |
Computer programs that interpret images |
Topics in this class: Low-level vision
Topics in this class: Motion Estimation
Topics: 3D Scene Reconstruction
Applications: Industrial Inspection
Application: Document Analysis
Project 1: Intelligent Scissors
http://www.cs.washington.edu/education/courses/cse490cv/02wi/ |
Project 3: Single View Modeling
There will be a short project assigned this Friday | |
Goal is to get familiar with image IO, UI infrastructure |
http://www.cs.washington.edu/education/courses/cse490cv/02wi/ |
Programming Projects | ||
filtering (10%) | ||
image scissors (20%) | ||
panoramas (20%) | ||
single view modeling (20%) | ||
Midterm (15%) | ||
Final (15%) |
Prerequisites—these are essential! | ||
Data structures (CSE 326) | ||
A good working knowledge of C and C++ programming | ||
Linear algebra | ||
Vector calculus | ||
Course does not assume prior imaging experience | ||
computer vision, image processing, graphics, etc. | ||
Course will be programming-intensive! | ||