To probe further:
- Similar courses at other universities
- CMU Course on Computational Photography (Alyosha Efros)
- Northeastern Course on Computational Photography (Ramesh Raskar)
- MIT Course on Digital and Computational Photography (Fredo Durand & Bill Freeman)
- Georgia Tech Course on Computational Photography (Irfan Essa)
- Stanford Course on Computational Photography (Marc Levoy & Bennett Wilburn)
- SIGGRAPH Course on Computational Photography (Ramesh Raskar & Jack Tumblin)
- Georgia Tech course on Digital Video Special Effects (Irfan Essa)
- Computer Vision course at UWashington (Steve Seitz & Rick Szeliski)
- UCSD Course on Topics in Image-based Modeling and Rendering (David Kriegman)
- Computer Vision: Facts and Fiction
From the website: This educational DVD represents an effort to inspire young people to explore and discover the often misunderstood field of Computer Vision. Ideas that are ultimately at the core of Computer Vision as a research field have permeated literature and, since the invention of film, Hollywood. Hollywood films will be used as a starting point for discussion because of their popularity. Elements of Computer Vision are commonly found in Hollywood films, acting as a bridge between the possibilities of scientific reality and fantasy. Most people, familiar with CV only through such films, have little idea of the scope of this field. This project aims to advise, clarify, and inspire curious students as well as other interested individuals. [Kyros: Follow the link for more info and to view online video clips]
- CVOnline
A massive set of tutorial notes for computer vision. Also points to many interactive Java demos.
- The CMU Computer Vision Home Page
The most extensive set of links to resources for vision research (groups, code, data, companies, etc)
- The Annotated Computer Vision Bibliography
A great resource if you are trying to find a nearly-complete and up-to-date list of papers published on practically any topic in computer vision
Site last modified on Tuesday, November 20, 2012
Send questions or comments about this page to kyros@cs.toronto.edu