CEG-724 Computer Vision I

Spring 2008

CRN: 37063                     Lecture: 2:45 – 4:00 PM, M,W                  Location: 155 RC
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, T, 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
Digital snapshots
Dealing with image noise
Image features
More image features
Camera calibration
Stereopsis
Applications of computer vision

Learning Goals:

In this course we will learn computer algorithms that extract information from images and algorithms that process such information to describe the contents of images. Some of the techniques will be practiced through computer implementation.

Projects and Exams:

There will be four programming assignments and four 30-minute quizzes.

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: 4/9, due: 4/23, 2:00 PM
Assignment 2	Assigned: 4/23, due: 5/7, 2:00 PM
Assignment 3	Assigned: 5/7, due: 5/21, 6:00 PM
Assignment 4	Assigned: 5/21, due: 6/4, 6:00 PM
Quizzes	4/16, 4/30, 5/14, 5/28