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Ask HN: Is there a canonical source for image processing papers and information?

• Kliment 17y ago
  It's rather problematic. I'd start with sciweavers ( http://www.sciweavers.org/ http://www.sciweavers.org/ ), since they have a lot of readable, new papers, but the vast majority of the references are fairly math-heavy and somewhat removed from the applications. A very good resource is the Oreilly book ( http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134 http://www.amazon.com/Learning-OpenCV-Computer-Vision-Librar... ) on OpenCV, and the OpenCV source code ( https://code.ros.org/svn/opencv/trunk/opencv/ https://code.ros.org/svn/opencv/trunk/opencv/ ). Imagemagick source ( http://www.imagemagick.org/script/index.php http://www.imagemagick.org/script/index.php ) is also amazing for learning how basic operations are done in code. Learning to read the style of older research papers and to pull applications out of them is very useful though. It's surprising how often something seemingly overacademized and useless, when translated into code, turns out to be very useful and smart.
  • weaksauce 17y ago
    Thanks for the links! The first one looks like it has a lot of good info. I guess I should clarify that I am not afraid of the math heavy papers (image processing is by nature math heavy) but what I meant by overly academic is proving something just to write a paper. For instance sometimes they write a paper on a solved problem to take the overall asymptotic running time down a bit but increase the constant factor and code complexity by a large amount. Think quickSelect vs Deterministic select. Quickselect only breaks down if every random pick of the pivot is the worst one whereas the deterministic select guarantees O(n) but with a constant in the 10's (I could be off on this number but it's high)
  • oash 17y ago
    Hi, I would like to thank you too about the useful links you posted. I like to add also http://citeseer.ist.psu.edu/ http://citeseer.ist.psu.edu/. It is a huge library of pdfs. However, what i really liked about your first link i.e., Sciweavers.org is that they enable you to browse the output of conference papers visually using different types of cool 3D widgets. Therefore, you do not have to read every paper title or abstract to know what the paper is about. This could save us significant time while trying to find related work of a given conference. For example, see their widget in action of ICIP-2009 or CVPR-2009 http://www.sciweavers.org/gallery/wall.html?u=cvpr-2009 http://www.sciweavers.org/gallery/wall.html?u=cvpr-2009 http://www.sciweavers.org/gallery/wall.html?u=icip-2009 http://www.sciweavers.org/gallery/wall.html?u=icip-2009 Also, they sort conference papers using different criteria (most featured, views, most impact, etc) and hence can quickly find good papers to read or implement.
• jremillard 17y ago
  The stuff that is posted on the web is usually trivial beginner stuff or research. The vast middle ground is all in books. If you are doing this for work, goto Amazon pick up 6 or 7 the books as they tend to only have 80% overlap.
  • weaksauce 17y ago
    Do you have any suggestions for good books?
    • jremillard 17y ago
      Well, it depends on what you need. I think the best first book is the "The Image Processing Handbook, by John C. Russ". It is very expensive, but it is worth it when you don't where to start. After that you should look at books that are more focused/technical to the problem are working on.
      • oash 17y ago
        I have found the following two books useful. The fundamental algorithms in image processing can be found in this free book "Image Processing in C" while the fundamental computer vision algorithms can be found in this free book "Introduction to Computer Vision" by Prof. Mubarak Shah, one of the pioneers in this area. Both books are available on Sciweavers.
        • weaksauce 17y ago
          Those books are great! Definitely what I was looking for.