ECE 5554 / ECE 4554: Computer Vision Fall 2017

Textbook and optional references

Lectures are not based on any particular textbook. Our primary reference for this course is:

Computational Vision: Algorithms and Applications 

Computer Vision: Algorithms and Applications, Richard Szeliski, 2010

The electronic copy of the book in PDF is freely available on the web page: http:szeliski.org/Book

Other usful references:

  • Computer Vision: A Modern Approach (2nd edition) by David Forsyth and Jean Ponces

  • Multiple View Geometry in Computer Vision, Hartley & Zisserman (a bible on recovering 3D geometry)

  • Concise Computer Vision: An Introduction into Theory and Algorithms by Reinhard Klette

  • Computer Vision, Shapiro and Stockman (a nice introduction to computer vision)

  • Linear Algebra and its Applications, Gilbert Strang (excellent book on linear algebra)

  • Vision Science: Photons to Phenomenology, Stephen Palmer (a great book on human visual perception)

  • Digital Image Processing, 2nd edition, Gonzalez and Woods (a good general image processing text)

MATLAB

General computer vision resources

Courses

Similar courses in other univiersities

Related courses in Virginia Tech

Introductory courses:

Advanced courses:

Fundamentals:

  • ECE 5734 Convex Optimization

  • STAT 5444 Bayesian Statistics

  • STAT 4714 Prob and Stat for EE