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

Today
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

What is Computer Vision?
Computer programs that interpret images

Image Processing

Perception

Perception

Perception

Computer Graphics

Topics in this class:  Low-level vision

Topics in this class:  Motion Estimation

Topics:  3D Scene Reconstruction

Topics:  Object Recognition

Applications:  Robotics

Applications:  3D Scanning

Applications:  Motion Capture

Applications:  Industrial Inspection

Applications:  Games

Application:  Image Retrieval

Application:  Medical Imaging

Application:  Document Analysis

Project 1:  Intelligent Scissors

Project 2:  Panorama Stitching
http://www.cs.washington.edu/education/courses/cse490cv/02wi/

Project 3:  Single View Modeling

Project 0
There will be a short project assigned this Friday
Goal is to get familiar with image IO, UI infrastructure

Class Webpage
http://www.cs.washington.edu/education/courses/cse490cv/02wi/

Grading
Programming Projects
filtering (10%)
image scissors (20%)
panoramas (20%)
single view modeling (20%)
Midterm (15%)
Final (15%)

General Comments
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!