CEG-724 Computer Vision I

Fall 2008

CRN: 81038                     Lecture: 4:10 – 5:25 PM, T,R                  Location: 054 Rike Hall
Instructor: A. Goshtasby      Office Location: 495 JC     E-mail: agoshtas@wright.edu
Phone: 937-775-5170      Office Hours: 1:00 – 2:00 PM, M, T, W, R, or by appointment.

No. Units: 4

Textbook:

Introductory Techniques for 3-D Computer Vision
E. Trucco & A. Verri
Prentice Hall, 1998

Purpose of Course:

This course covers basic techniques for low-level and some mid-level vision. The techniques include: camera calibration, image filtering and edge detection, image segmentation and feature selection, and stereo depth perception.

Contents: The following chapters in the book will be covered.

Introduction
Camera geometry
Noise filtering
Image segmentation and edge detection
Image features
Camera calibration
Stereo vision
Applications of computer vision

Learning Goals:

In this course we will learn algorithms that extract information from images, algorithms that process such information, and algorithms that describe the contents of images. Some of the algorithms will be implemented as class assignments.

Projects and Exams:

There will be three programming assignments and two midterm exams.

Grading Policy:

Programming assignments will worth 50% and quizzes will worth 50% of the overall grade. Following grades are guaranteed A: 90..100, B: 80..89, C:70..79, D: 60..69, E: 0..59.

Calendar:

Assignment 1	Assigned: 9/18, due: 10/2, 4:00 PM
Assignment 2	Assigned: 10/7, due: 10/23, 4:00 PM
Assignment 3	Assigned: 10/28, due: 11/13, 4:00 PM
Midterm 1	10/6
Midterm 2	11/4