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In this tutorial, we will learn step by step installation for OpenCV package based on Visual Studio compiler binaries. For OpenCV installation based on other compiler binaries such as MinGW, please see my other tutorial in “Tutorial Installing OpenCV from source based on MinGW compiler binaries”.
The latest version of OpenCV is 2.2.0 that support more library function for C++ language, but the principle of installation between old version and new one is same.
Ok, lets jump to installation step.
OpenCV (Open Source Computer Vision) is a cross-platform (Windows, Linux, MacOS, freeBSD) library of programming functions that are widely used to support the project development of applications based on computer vision. OpenCV developed by Intel, which is free under BSD license for both academic and commercial use. OpenCV libraries contain more than 500 algorithms which are widely used in image and video processing.
Now, in its development is supported by researchers from robotics lab Willow Garage. OpenCV based on C / C + + which can be integrated with a variety of programming IDE editor like code:: blocks, Eclipse, Qt, DevCpp, and others also support the python programming language.
For more detailed information please visit the “OpenCV website” or “OpenCV Wiki” and for a tutorial how to integrate OpenCV with “visual editor IDE” as codeblocks, eclipse and qt please read my tutorials on this blog.