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804

answers:

8

I am really intrigued by the field of computer vision and the potential it has. Are there any examples (preferably implemented in .NET) which I can study along with a reference book?

+5  A: 

Here's a large collection of code, toolkits, and apps you might find useful

http://www.cs.cmu.edu/~cil/v-source.html

mandaleeka
A: 

There is the OpenCV project on sourceforge with a book that you can get as well. You can see it here. However, that is not a .NET solution it is C

Mitchel Sellers
+7  A: 

OpenCV (Open Computer Vision) is the most popular library, and it has been wrapped for C#:

http://www.codeproject.com/KB/cs/Intel_OpenCV.aspx

Some discussion about this wrapper and the library in general is here:

http://coolthingoftheday.blogspot.com/2008/08/opencv-open-source-computer-vision-for.html

Adam Davis
A: 

I recommend Open Computer Vision Library. It's much spoken of and looks promising. It even has an O'Reilly accompanying book :)

The Open Computer Vision Library has > 500 algorithms, documentation and sample code for real time computer vision. Tutorial documentation is in O'Reilly Book

dmondark
A: 

I've done a bit of work with SIFT in the recent past and it seems to be a rather interesting modern algorithm for feature detection), which is one of the major (and perhaps more advanced) topics within machine vision. Someone has written a C# library for SIFT with a pretty nice example that can automatically stitch together separate photographs of the same scene. Admittedly, this isn't a very complete answer, and I can't recommend a reference book, but hopefully it should be of some use to you anyway...

Noldorin
+3  A: 

You could start by looking at some of the similar questions on this site:

I can also look at these two sites:

The sites provide information, tutorials and code examples, even though they are not actively maintained anymore.

Dani van der Meer
+4  A: 

While the OpenCV library is interesting to use, it doesn't offer a lot of transparency as you learn. If you're interested in actually learning about the field, I would recommend looking into low-level image processing libraries and implementing your own Computer Vision applications. Once you've coded your own basic CV applications, using the OpenCV library becomes a lot easier. I would suggest the following topics to advance quickly through the basics:

  • sobel operators for edge detection
  • trying your hand at color segmentation
  • reconstructing 3d information from stereo images using disparity maps

Here's a site with some good test images (http://www.cs.cmu.edu/~cil/v-images.html).

I also found a good resource of course slides that cover the majority of these topics at (http://www.cs.nott.ac.uk/~tpp/G5BVIS/lectures.html)

Happy hacking =)

Marc
+11  A: 

Sample Vision Code

Resources

Stack Overflow Questions

George Stocker