<div class="gmail_quote">---------- Forwarded message ----------<br>From: "Bob Fisher" <<a href="mailto:rbf@inf.ed.ac.uk">rbf@inf.ed.ac.uk</a>><br>Date: Sep 10, 2014 1:34 PM<br>Subject: Online resources for imaging and vision courses<br>To: <<a href="mailto:cmsweeney@cs.ucsb.edu">cmsweeney@cs.ucsb.edu</a>><br>Cc: <br><br type="attribution">`<br>
Dear Imaging and Vision people<br>
<br>
RE: Online resources for your imaging and vision courses<br>
<br>
As we are starting a new academic year, you might be wondering about<br>
various online teaching and research resources for image processing and computer vision.<br>
Some resources are:<br>
<br>
1) Video lectures - 15 hours of video in c. 10 minute blocks on:<br>
flat part recognition, deformable part recognition, range data<br>
and stereo data 3D part recognition, detecting & tracking objects in video,<br>
and behaviour recognition<br>
2) CVonline - organising about 2000 related topics in imaging & vision,<br>
including some elementary neurophysiology and psychophysics.<br>
Most content is in wikipedia now, but the index is independent.<br>
3) CVonline supplements:<br>
list of online and hardcopy books<br>
list of datasets for research and student projects<br>
list of useful software packages<br>
list of application areas<br>
4) Online education resources of the Int. Assoc. for Pattern Recognition<br>
5) HIPR2 - Image Processing Teaching Materials with JAVA<br>
6) CVDICT: Dictionary of Computer Vision and Image Processing<br>
<br>
See more details of these below .<br>
<br>
Best wishes, Bob Fisher<br>
<br>
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<br>
1) video lectures - 15 hours of video in c. 10 minute blocks.<br>
See: <a href="http://homepages.inf.ed.ac.uk/rbf/AVINVERTED/main_av.htm" target="_blank">http://homepages.inf.ed.ac.uk/rbf/AVINVERTED/main_av.htm</a><br>
<br>
Including PDF slides, links to supplementary reading, a drill question for each video<br>
The site contains a set of video lectures on a subset of computer vision. It is<br>
intended for viewers who have an understanding of the nature of images and some<br>
understanding of how they can be processed. The course is more like<br>
Computer Vision 102, introducing a range of standard and acccepted<br>
methods, rather than the latest research advances.<br>
<br>
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<br>
2) CVonline is a free WWW-based set of introductions to topics in computer vision.<br>
<br>
<a href="http://homepages.inf.ed.ac.uk/rbf/CVonline/" target="_blank">http://homepages.inf.ed.ac.uk/rbf/CVonline/</a><br>
<br>
Because of the improvements in the content available in Wikipedia,<br>
it is now possible to find content for more than 50% of CVonline's 2000 topics.<br>
CVonline groups together the topics into a sensible topic hierarchy, but tries<br>
to exploit the advancing quality and breadth of wikipedia's content.<br>
<br>
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<br>
3) CVonline has a variety of supplemental information useful to students and researchers,<br>
namely lists of:<br>
<br>
online and hardcopy books: <a href="http://homepages.inf.ed.ac.uk/rbf/CVonline/books.htm" target="_blank">http://homepages.inf.ed.ac.uk/rbf/CVonline/books.htm</a><br>
datasets for research and student projects: <a href="http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm" target="_blank">http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm</a><br>
useful software packages: <a href="http://homepages.inf.ed.ac.uk/rbf/CVonline/SWEnvironments.htm" target="_blank">http://homepages.inf.ed.ac.uk/rbf/CVonline/SWEnvironments.htm</a><br>
application areas: <a href="http://homepages.inf.ed.ac.uk/rbf/CVonline/applic.htm" target="_blank">http://homepages.inf.ed.ac.uk/rbf/CVonline/applic.htm</a><br>
<br>
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<br>
4) The education resources of the Int. Assoc. for Pattern Recognition<br>
<br>
<a href="http://homepages.inf.ed.ac.uk/rbf/IAPR/" target="_blank">http://homepages.inf.ed.ac.uk/rbf/IAPR/</a><br>
<br>
contain many links to Tutorials and Surveys, Explanations, Online Demos,<br>
Datasets, Books, Code for:<br>
Symbolic pattern recognition, Statistical pattern recognition, Machine learning,<br>
1D Signal pattern recognition and 2D Image analysis and computer vision.<br>
<br>
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<br>
5) HIPR2: free WWW-based Image Processing Teaching Materials with JAVA<br>
<br>
<a href="http://homepages.inf.ed.ac.uk/rbf/HIPR2/" target="_blank">http://homepages.inf.ed.ac.uk/rbf/HIPR2/</a><br>
<br>
HIPR2 is a free www-based set of tutorial materials for the 50 most commonly<br>
used image processing operators. It contains tutorial text, sample results<br>
and JAVA demonstrations of individual operators and collections.<br>
<br>
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<br>
6) CVDICT: Dictionary of Computer Vision and Image Processing<br>
<br>
<a href="http://homepages.inf.ed.ac.uk/rbf/CVDICT/" target="_blank">http://homepages.inf.ed.ac.uk/rbf/CVDICT/</a><br>
<br>
This are the free view terms A..G from the the first version of the<br>
Dictionary, published by John Wiley and Sons. (Note there there a second<br>
edition currently on sale).<br>
<br>
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<br>
Prof. Robert B. Fisher, School of Informatics, Univ. of Edinburgh<br>
1.26 Informatics Forum, 10 Crichton St, Edinburgh EH8 9AB, UK<br>
<a href="tel:%2B44-%28131%29-651-3441" value="+441316513441">+44-(131)-651-3441</a> (direct line), <a href="tel:%2B44-%28131%29-651-3443" value="+441316513443">+44-(131)-651-3443</a> (secretary)<br>
Fax: <a href="tel:%2B44-%28131%29-650-6899" value="+441316506899">+44-(131)-650-6899</a> E-MAIL: r.b.fisher A@T <a href="http://ed.ac.uk" target="_blank">ed.ac.uk</a><br>
<a href="http://www.inf.ed.ac.uk/people/staff/Robert_Fisher.html" target="_blank">http://www.inf.ed.ac.uk/people/staff/Robert_Fisher.html</a><br>
<br>
The University of Edinburgh is a charitable body, registered in<br>
Scotland, with registration number SC005336.<br>
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