opencv_matlab is a simple C++ template library that provides routines to convert between Matlab's and OpenCV's primary image representatations.
This way it is possible to easily call OpenCV functions from C++-.mex-code as well as to use C++ routines developed for Matlab in projects that primarily use OpenCV.
Naturally, converting images takes time and it's consequently not the best solution for code with strong time constraints, but it's often more than good enough for prototyping and/or demonstrators. And, most importantly, you don't have to rewrite/reimplement code, thus saving hours of time.
I have used the code in several projects and if you want to cite something (yay! but don't feel obliged to do so), then  might be most appropriate
 B. Schauerte, B. Kuehn, K. Kroschel, R. Stiefelhagen, "Multimodal Saliency-based Attention for Object-based Scene Analysis". In Proc. 24th International Conference on Intelligent Robots and Systems (IROS), IEEE/RSJ, San Francisco, CA, USA, September 25-30, 2011.
Since the whole code is contained in the header (.hpp) files, all you need to do is copy these files into your project and include them.
3. DEMO CODE / USAGE EXAMPLES
3.1 EXAMPLE FOR OpenCV CODE USING FUNCTIONS WRITTEN FOR C++-.mex FILES
The demo code in opencv_matlab_standalone.cpp uses OpenCV to load an image, then converts the image to Matlab's image representation, runs an arbitrary code, and then converts the result to OpenCV's format for further operations/display.
You can compile and run it as follows:
mkdir build cd build ccmake .. make ./opencv_matlab_standalone path_to_some_test_image
3.2 EXAMPLE FOR CALLING OpenCV FUNCTIONS FROM A C++-.mex FILE
The demo code that showcases how to invoke OpenCV functions from a C++-.mex is distributed in several files:
- build_opencv_matlab_mex.m can be used to build the .mex file (take care and set the correct include/lib pathes)
- opencv_matlab_mex.cpp is the actual C++-.mex demo function, which calls cv::GaussianBlur and does some type conversions
- opencv_matlab_mex_demo.m can be called to show a demo example
To put it in order, run the following in Matlab:
4. AUTHOR INFORMATION
NOTE Please do not send me e-mails regarding problems with OpenCV, etc. in general; I am really not the best person to answer such questions and - in all honesty - I have too much other stuff to do, sorry.
4.2 CODE HOSTING
- Stable/static version: opencv_matlab@Mathworks
- Development version, feel free to commit: opencv_matlab@GitHub
Part of this work was/is supported by the German Research Foundation (DFG) within the Collaborative Research Program SFB 588 "Humanoid Robots" and the Quaero Programme, funded by OSEO, French State agency for innovation.