Computer Science CS 682 / 001

Computer Vision


Tuesday, 4:30 pm - 7:10 pm, in Art and Design Building L008


Zoran Duric.

About the Class

The goal of computer vision is to compute properties of the three-dimensional world from digital images. Problems in this field include identifying the 3D shape of an environment, determining how things are moving, and recognizing familiar people and objects, all through analysis of images and video. This course provides an introduction to computer vision, including such topics as feature detection, image segmentation, motion estimation, 3D shape reconstruction, and object recognition.


Algorithms and Data Structures
Artificial Intelligence
Linear algebra and calculus
A good working knowledge of C/C++ or Java or Python programming


  1. Computer Vision: Algorithms and Applications. R. Szeliski, Springer, 2010, required, Online version of the book
  2. Computer and Machine Vision: Theory, Algorithms, Practicalities, E.R. Davies, Academic Press, 2012, recommended , A lot of well-explained algorithms with implementation details
  3. Computer Vision, G. Stockman and L. Shapiro, Prentice-Hall, 2001, recommended
  4. Computer Vision: A Modern Approach: D. Forsythe and J. Ponce, Prentice-Hall, 2003, recommended
  5. Image Processing, Analysis, and Machine Vision. Sonka, Hlavac, and Boyle. Thomson, recommended


  1. Matlab: we will use Matlab in class for demos occasionally. You can use Matlab on school computers or you can purchase a student version.
  2. OpenCV: projects will require OpenCV. OpennCV is a C/C++ open source library with wrappers in Java and Python and Matlab.

Course Web Page

CS 682: Computer Vision We will communicate through piazza. Slides, handouts, and assignments will be posted on the web page.


Grading will be based on a combination of the following factors:
  1. Programming homeworks 40% (about every 2 weeks).
  2. A final group project 20%.
  3. A midterm 20%.
  4. A final 20%.

Honor Code

The class enforces the GMU Honor Code, and to the more specific honor code policy special to the Department of Computer Science. You will be expected to adhere to this code and policy.


If you heve a documented learning disability or other condition which may affect academic performance, make sure this documentation is on file with the Office of Disability Services and come talk to me about accommodations.