EEE 598A / AME 598 ST: Image Understanding, Fall 2004

Course

Basics

Objectives:

This is an advanced graduate level course on image understanding and computer vision. We will discuss mathematical, geometrical and statistical approaches to solving image understanding and computer vision problems. Computer vision algorithms with context-awareness will be discussed throughout the course.

Time:

MWF 8:40−9:30 am

Venue:

ANTH 265

Instructor:

Professor Gang Qian

Arts, Media and Engineering Program and

Department of Electrical Engineering,

Matthews Center 240A/GWC 454

Arizona State University, Tempe AZ 85282-8709

Email:gang.qian@asu.edu

Tel: (480) 965-3704, Fax: (480) 965-0961

Office hrs:

Wednesday, 3:00−5:00pm at GWC 454 (or send emails for appointments)

References:

·      Computer Vision – A Modern Approach, by Forsyth and Ponce, some of the chapters are downloadable.

·      Multiple View Geometry in Computer Vision, by Hartley and Zisserman

Websites:

Please check out the course page at the ASU Blackboard system for course information, reading materials, homework, notices. Check Blackboard often for important announcements.

Tentative

Course Contents

·   Overview

·   Cameras

·   Radiometry, shadows and shading

·   Color space  

·   Liner Filters and 2D Signal Processing

·   Feature Extraction

·   Texture and Segmentation

·   Shape from texture, shape from shading

·   Projective Geometry

·   Structure-from-motion

·   MCMC for computer vision

Homework and Projects

Homework will be assigned approximately once two weeks.  Please turn in your homework before class on the due date. No late homework will be accepted.  There will be a number of projects, which are interesting and helpful for you to understand the course materials.

Exams

There will be one in-class midterm and one in-class final exam. No make-up exams will be granted, except approved in advance by the instructor or in the case of a legitimate unforeseen emergency.

Grading

·        Homework 10%

·        Projects 40%

·        Midterm 20%

·        Final 30%, Tue., December 14, 7:40-9:30am