Computer Vision (CSE/EE 576)

	Staff
		Prof:  Steve Seitz (seitz@cs)
		TA:  Aseem Agarwala (aseem@cs)
	Web Page
		http://www.cs.washington.edu/education/courses/cse576/03sp/
	Handouts
		intro lecture
		filter lecture
		signup sheet
		account forms

Today

	Overview of Computer Vision
	Overview of Course
	Images & transformations
	Readings for this week
		Forsyth & Ponce textbook, chapter 7
		Intelligent Scissors
			http://www.cs.washington.edu/education/courses/576/03sp/readings/mort-sigg95.pdf

Every picture tells a story

	Goal of computer vision is to write computer programs that can interpret images

Can computers match human perception?

	Not yet
		computer vision is still no match for human perception
		but catching up, particularly in certain areas

Perception

Perception

Perception

Low level processing

	Low level operations
		Image enhancement, feature detection, region segmentation

Mid level processing

	Mid level operations
		3D shape reconstruction, motion estimation

High level processing

	High level operations
		Recognition of people, places, events

Application:  Document Analysis

Applications:  3D Scanning

Applications:  Motion Capture, Games

Application:  Medical Imaging

Applications:  Robotics

Project 1:  Intelligent Scissors

Project 2:  Panorama Stitching

	http://www.cs.washington.edu/homes/allen/cse590ss/fridge-big.html

Project 3:  Face Recognition

Project 4

	Open-ended research project

Class Webpage

	http://www.cs.washington.edu/education/courses/cse455/03wi/

Grading

	Programming Projects
		image scissors
		panoramas
		face recognition
		final project
	one or two written homeworks
	no final

General Comments

	Prerequisites—these are essential!
		Data structures
		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.
	Emphasis on programming projects!