Learning about Computer Vision [closed]

Answer 1

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...

Answer 2

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 =)

Answer 3

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

• where-do-i-start-learning-about-image-processing-and-object-recognition
• image-processing-textbook
• computer-vision-reference

I can also look at these two sites:

• http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html
• http://www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html

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

Answer 4

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

Answer 5

The AForge.NET library is pretty good and is written in C#, with the source available here.

Supported features are:

• AForge.Imaging - library with image processing routines and filters;
• AForge.Vision - computer vision library;
• AForge.Neuro - neural networks computation library;
• AForge.Genetic - evolution programming library;
• AForge.Fuzzy - fuzzy computations library;
• AForge.MachineLearning - machine learning library;
• AForge.Robotics - library providing support of some robotics kits;
• AForge.Video - set of libraries for video processing etc.

The algorithms are maybe not as cutting edge/academic as some of the other answers but a lot of the engineering problems taken care of (getting video into your application, etc).

Answer 6

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