CS 153 Syllabus, Fall 2000

Computer Science 153
Computer Vision
Overview/Syllabus, Fall 2000

General Information

Instructor: Zachary Dodds
Office: Olin 1265
Phone: x78990 (909-607-8990)
E-mail: dodds@cs.hmc.edu
Official Office Hours: MW 4:00-5:00
Real Office Hours: Anytime

Class Time and Place:

Tue and Thu 1:15 - 2:30 PM, Beckman 126

Course Homepage: http://www.cs.hmc.edu/courses/2000/fall/cs153/index.html

Is This Course for You?

Absolutely! It would help, however, if you've had a good amount of programming (CS70 or so) and some linear algebra (Math 12). Curiosity about computer vision wouldn't hurt either!

What Is This Course About?

My goal is to provide a hands-on introduction to some of computer vision. Though it didn't exist a few decades ago, computer vision is a vast field nowadays. You might describe its ultimate goal to be the construction of a "seeing Turing machine" (one possible design is depicted on the course homepage). Thus, the basic problem that computer vision addresses is this: how do we input images and output useful information about what those image depict. The "hands-on" component of the course is a set of five projects that will have you writing your own solutions to a variety of such problems.

Texts

Computer Vision by Linda Shapiro and George Stockman. This is the primary textbook for the course. It is not yet published (i.e., cutting edge!), so that we will use a preprint version.

[Optional] Computer Vision by David Forsyth and Jean Ponce. This is a secondary resource. It is even more cutting edge than the first book (i.e., even further from being published); again, we will use a preprint version.

[Optional] Image Processing, Analysis, and Machine Vision by Milan Sonka, Vaclav Hlavac, and Roger Boyle. The is the most polished of the textbooks -- it has been published, but as a result it is also the most expensive. It's available at Amazon.com here.

Assignments and Grades

Collaboration Policy - Honor Code

All conduct in this course should be in accordance with the Harvey Mudd Honor Code. In particular, the projects in CS153 offer the opportunity to work with one or two other students. It is important that that work truly be a product of all of those participants. Also, while discussion and research about problems or projects is encouraged outside of a lab group, you may not share (give or receive) written or electronically stored work with other groups or others outside the class. (Of course, you may use the assistance of the instructor.)

If you have any doubts about whether a form of interaction constitutes a violation of this standard, it is incumbent upon you to ask the instructor prior to the issue.

Computer Science 153 Computer Vision Overview/Syllabus, Fall 2000