openCV 3.0 发布，更新内容如下： ~1500 patches, submitted as PR @ github. All our patches go the same route. opencv_contrib (http://github.com/itseez/opencv_contrib) repository has been added. A lot of new functionality is there already! opencv_contrib is only compatible with 3.0/master, not 2.4. Clone the repository and use “cmake … -D OPENCV_EXTRA_MODULES_PATH=<path_to opencv_contrib/modules> …” to build opencv and opencv_contrib together. a subset of Intel IPP (IPPCV) is given to us and our users free of charge, free of licensing fees, for commercial and non-commerical use. It’s used by default in x86 and x64 builds on Windows, Linux and Mac. T-API (transparent API) has been introduced, this is transparent GPU acceleration layer using OpenCL. It does not add any compile-time or runtime dependency of OpenCL. When OpenCL is available, it’s detected and used, but it can be disabled at compile time or at runtime. It covers ~100 OpenCV functions. This work has been done by contract and with generous support from AMD and Intel companies. ~40 OpenCV functions have been accelerated using NEON intrinsics and because these are mostly basic functions, some higher-level functions got accelerated as well. There is also new OpenCV HAL layer that will simplifies creation of NEON-optimized code and that should form a base for the open-source and proprietary OpenCV accelerators. The documentation is now in Doxygen: http://docs.opencv.org/master/ We cleaned up API of many high-level algorithms from features2d, calib3d, objdetect etc. They now follow the uniform “abstract interface – hidden implementation” pattern and make extensive use of smart pointers (Ptr<>). Greatly improved and extended Python & Java bindings (also, see below on the Python bindings), newly introduced Matlab bindings (still in alpha stage). Improved Android support – now OpenCV Manager is in Java and supports both 2.4 and 3.0. Greatly improved WinRT support, including video capturing and multi-threading capabilities. Thanks for Microsoft team for this! 更多内容请查看发行日志 软件下载： Windows self-extracting archive: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.0.0/ iOS framework: https://sourceforge.net/projects/opencvlibrary/files/opencv-ios/3.0.0/ and the source code for all the platforms can be downloaded from GitHub: https://github.com/Itseez/opencv/archive/3.0.0.zip OpenCV 是 Intel 开源计算机视觉库。它由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法。 OpenCV 拥有包括 300 多个C函数的跨平台的中、高层 API。它不依赖于其它的外部库——尽管也可以使用某些外部库。 OpenCV 对非商业应用和商业应用都是免费（FREE）的。（细节参考 license）。 OpenCV 为Intel Integrated Performance Primitives (IPP) 提供了透明接口。 这意味着如果有为特定处理器优化的的 IPP 库， OpenCV 将在运行时自动加载这些库。 openCV 3.0 发布，计算机视觉库下载地址
