OpenCV — Intel’s free, open-source computer-vision library — can greatly simplify computer-vision programming. It includes advanced capabilities — face detection, face tracking, face recognition, Kalman filtering, and a variety of artificial-intelligence (AI) methods — in ready-to-use form. In addition, it provides many basic computervision algorithms via its lower-level APIs. A good understanding of how these methods work is the key to getting good results when using OpenCV.
OpenCV is a free, open-source computer vision library for C/C++ programmers. You can download it from :
http://sourceforge.net/projects/opencvlibrary
Intel released the first version of OpenCV in 1999. Initially, it required Intel’s Image Processing Library. That dependency was eventually removed, and you can now use OpenCV as a standalone library. OpenCV is multi-platform. It supports both Windows and Linux, and more recently, MacOSX.
OpenCV is a free, open-source computer vision library for C/C++ programmers. You can download it from :
http://sourceforge.net/projects/opencvlibrary
Intel released the first version of OpenCV in 1999. Initially, it required Intel’s Image Processing Library. That dependency was eventually removed, and you can now use OpenCV as a standalone library. OpenCV is multi-platform. It supports both Windows and Linux, and more recently, MacOSX.
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