Hi try openCV from Intel
http://www.intel.com/technology/computing/opencv/
Its always a good and
fast choice for CV. They have ready to use implementations of
stereovision as example. May be you can use one of them.
Eric
Yoong Kang schrieb:
> Hi all.
>
> I am new to computer vision. Currently, I am doing a stereo vision
> project. As I understand it, the two main stereo vision methods are
> feature-based and area-based. I am required to use a feature-based
> method, because I am restricted to a very specific edge-detection
> algorithm (http://www.tfolsom.com/Research/Research.htm).
This edge-
> detection algorithm returns information about the edges in a text file
> (i.e, position, orientation, etc.).
>
> Since the edge-detection part has already been done, the next step is
> stereo matching. I have tried looking at a number of research papers
> on the topic, but most of the information I was able to find was on
> dense methods (non-feature-based).
>
> I still do not know how a feature in a left image is matched with the
> correct feature in the right image (and not other features). What is
> the criterion that is used to match the features?
>
> Would anyone be kind enough to point me in the right direction? I am
> currently confused as to how to begin this project.
>
> Thanks in advance.
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