CS 461/561: Computer Vision

Spring 2006: Tuesday & Thursday, 1:30 - 2:45

Engineering and Computational Sciences Bldg, Room 2120

Instructor:

Dr. Jessica Crouch

Office Hours: Tue 3-4; Wed 10-11; and by appointment

Office: ECSB 3212

Email: jrcrouch@cs.odu.edu

Phone: 683-6001 x5040

Class homepage:

http://www.cs.odu.edu/~jrcrouch/courses/cs461-s06

Textbook:

Required:

Computer Vision, A Modern Approach

By David Forsyth and Jean Ponce

Description:

The field of computer vision provides algorithms for extracting useful information about real-world objects based on one or a series of images. In this class we will address the following non-exhaustive list of computer vision topics:

· Cameras & Projection Geometry

· Shape from Shading

· Linear filters: blurring, edge detection, noise suppression

· Multi-view geometry

· Camera Calibration for Stereo Vision

· Image Segmentation

· Pattern Matching

· Image Registration / Image Fusion

Grading:

461 Enrollees:

25% Written Homework

35% Programming Projects

15% Midterm

20% Final Exam

5% Class Participation

561 Enrollees:

20% Written Homework

30% Programming Projects

15% Midterm

20% Final Exam

5% Class Participation

10% Course Project

Late Work

10% of an assignment’s value will be deducted for each day (or portion thereof) an assignment is late, so long as solutions to the assignment have not been provided to the class. After solutions to an assignment have been distributed, no credit will be awarded for a late assignment.

Prerequisites:

Formal pre-requisite:

1. CS 361: Advanced data structures and algorithms

Skills you will need:

1. Programming competency

2. Linear Algebra

3. Calculus

Email

Students should activate their Old Dominion e-mail accounts and check them before each class. If a student chooses to have his/her messages forwarded to another account, it is the student's responsibility to take the necessary steps to have them forwarded.

Attendance

Per university policy, students are expected to attend classes. Students who must miss a class are responsible for all information and announcements provided during class.

Classroom Conduct

Please be respectful of your classmates and instructor by minimizing distractions during class. Cell phones and pagers should be turned off during class. Conversations unrelated to course content should not be pursued during class. Please arrive to class on time.

Honor Pledge

By attending Old Dominion University you have accepted the responsibility to abide by the honor code. If you are uncertain about how the honor code applies to any course activity, you should request clarification from the instructor. The honor code is as follows:

I pledge to support the honor system of Old Dominion University. I will refrain from any form of academic dishonesty or deception, such as cheating or plagiarism. I am aware that as a member if the academic community, it is my responsibility to turn in all suspected violators of the honor system. I will report to Honor Council hearings if summoned."

Special Needs

In compliance with PL94-142 and more recent federal legislation affirming the rights of disabled individuals, provisions will be made for students with special needs on an individual basis. The student must have been identified, as "special needs" by the university and an appropriate letter(s) must be provided to the course instructor. Provision will be made based upon written guidelines from the university "special needs students" resource office. All students are expected to fulfill all course requirements.