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I am looking for a way to implement 2D-3D non-rigid image registration with minimal efforts and maximal reuse of existing code. So far I have found:
http://plastimatch.org/
http://elastix.isi.uu.nl/
However, these libraries appear to be be limited to rigid 2D-3D registration, and the non-rigidity is mandatory in my case. Any help is welcome.
Elastix does indeed support non-rigid registrations, hence the name ;)
You can find a list of some default parameter files here: http://elastix.bigr.nl/wiki/index.php/Default0 which is great if you do not want to dive into details. Check out the B-Spline text file if you want to perform a non-rigid registration.
Most important parameters are the FixedImageDimension and the MovingImageDimension. The rest should be ok.
Calling Elastix works like this:
elastix -m <MovingDataFile> -f <FixedDataFile> -out <OutputFolder> -p <ParameterFile> -threads <NumberOfThreads>
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As a newbee for Simulink, I am fascinated with the model-based design of algorithms in Simulink. So naturally, I am looking for what others have done with Simulink in computer vision area. Of course, I know Mathworks provided with many examples and exchange site with more but I am searching for more models. Is there any online community to share simulink models?
Well Peter Corke provides a handy pair of Matlab/Simulink toolboxes for Robotic Control and Machine Vision. It might not be exactly what you need, but I have found them extremely useful.
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I'm working on a project in which I want to add a draw/sketch feature that draws by the user's touches on screen. That way they can make simple drawings on a view. This is a concept used in many picture apps (i.e. SnapChat). I've done many Google searches but haven't found anything out there that I could use. Does Apple have a guide or class for this or is there are any algorithms or code out there that's available to the public? Please provide me with references or information regarding this topic. Thanks in advance for your time.
I really like the ray wenderlich tutorials.
They also have a tutorial on how to make a simple drawing app.
http://www.raywenderlich.com/18840/
I think it should give you a hint on how drawing works.
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I am looking for a piece of software that, given some text, will extract the "meaningful" keywords. For example, in the sentence:
StackExchange is an online community.
I want "StackExchange" and "online community" to be singled out as semantically-meaningful keywords, but not "is" or "an".
A bit of research led to Alchemy API, which does the job well. Are there other solutions out there, especially open source ones?
There is TexLexan, which is open source. This page also has good list of open source and commercial options.
It's a bit old, but I had really good luck building my own tools on top of MontyLingua.
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Is it better to implement blob(connected component) handling manually in openCV or are there any good libraries for the same? I found cvblob and cvBlobsLib? Are these libraries used on a standard scale?
I also looked into this and decided in the end to write my own CCL routine. It seems like a serious omission from OpenCV and no doubt a lot of people are "reinventing the wheel" as a result. Note however that you may be able to use findContours, depending on your exact requirements - see this question.
You should take a look at the new opencvblobslib. It has great features like multi core support.
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Please tell me where I can find video tutorials of Ab-Initio ETL Data Ware Housing tool.
I surfed in google but i did not find any materials.
Thanks in Advance.
I doubt you will be able to fine these anywhere other then contacting Ab Initio directly. They do not readily share their documentation.
Abinitio have a full non-disclosure policy with their customers. You wont find much freely available on the internet. If you want training in Abinitio (and you are a customer of theirs) then I suggest you contact them directly.