Dear Imaging and Vision people
RE: CVonline and other online image and vision resources
CVonline is a free WWW-based set of introductions to topics in computer vision.
See:
http://homepages.inf.ed.ac.uk/rbf/CVonline/
More detail:
CVonline provides a structured organisation to about 2000 topics in computer vision and image processing. Most of the topics now link to content available in Wikipedia.
In addition to the organised topic links, CVonline has:
1. A list of 300 image analysis applications areas, with descriptions 2. A list of 704 imaging related books including 42 free online books, 52 book support sites
and 191 online subscription books
3. 225 image and video databases for algorithm evaluation 4. 112 visual processing software packages & environments
The original CVonline is still accessible, with about 1800 of the 2000 topics having content, but it is no longer being developed.
Also ...
You might be wondering about other teaching and research resources for image processing and computer vision.
Three other resources are
HIPR2 - Image Processing Teaching Materials with JAVA
CVDICT: Dictionary of Computer Vision and Image Processing
Online education resources of the Int. Assoc. for Pattern Recognition
See more details of these below
Best wishes, Bob Fisher
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HIPR2: free WWW-based Image Processing Teaching Materials with JAVA
http://homepages.inf.ed.ac.uk/rbf/HIPR2/
HIPR2 is a free www-based set of tutorial materials for the 50 most commonly
used image processing operators. It contains tutorial text, sample results
and JAVA demonstrations of individual operators and collections.
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CVDICT: Dictionary of Computer Vision and Image Processing
http://homepages.inf.ed.ac.uk/rbf/CVDICT/
These are the freeview terms A..G from the Dictionary of the same title published by John Wiley and Sons.
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The education resources of the Int. Assoc. for Pattern Recognition Currently at:
http://homepages.inf.ed.ac.uk/rbf/IAPR/
Contains many links to
Tutorials and Surveys, Explanations, Online Demos, Datasets, Books, Code
for:
Symbolic pattern recognition, Statistical pattern recognition,
Machine learning, 1D Signal pattern recognition
2D Image analysis and computer vision.