OpenCV 3.1 发布，此版本更新内容如下：此版本是 3.x 系列的第一个稳定版本。
OpenCV 3.1 支持最新的 Windows 和 OS X 操作系统和最新的开发工具 (VS2015 和 Xcode 7)；支持 Andorid 5。
主要改进：
Omnidirectional Cameras Calibration and Stereo 3D Reconstruction - opencv_contrib/ccalib module (Baisheng Lai, Bo Li)
Structure From Motion - opencv_contrib/sfm module (Edgar Riba, Vincent Rabaud)
Improved Deformable Part-based Models - opencv_contrib/dpm module (Jiaolong Xu, Bence Magyar)
Real-time Multi-object Tracking using Kernelized Correlation Filter - opencv_contrib/tracking module (Laksono Kurnianggoro, Fernando J. Iglesias Garcia)
Improved and expanded Scene Text Detection - opencv_contrib/text module (Lluis Gomez, Vadim Pisarevsky)
Stereo correspondence improvements - opencv_contrib/stereo module (Mircea Paul Muresan, Sergei Nosov)
Structured-Light System Calibration - opencv_contrib/structured_light (Roberta Ravanelli, Delia, Stefano Fabri, Claudia Rapuano)
Chessboard+ArUco for camera calibration - opencv_contrib/aruco (Sergio Garrido, Prasanna, Gary Bradski)
Implementation of universal interface for deep neural network frameworks - opencv_contrib/dnn module (Vitaliy Lyudvichenko, Anatoly Baksheev)
Recent advances in edge-aware filtering, improved SGBM stereo algorithm - opencv/calib3d and opencv_contrib/ximgproc (Alexander Bokov, Maksim Shabunin)
Improved ICF detector, waldboost implementation - opencv_contrib/xobjdetect (Vlad Shakhuro, Alexander Bovyrin)
Multi-target TLD tracking - opencv_contrib/tracking module (Vladimir Tyan, Antonella Cascitelli)
3D pose estimation using CNNs - opencv_contrib/cnn_3dobj (Yida Wang, Manuele Tamburrano, Stefano Fabri)
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。
软件详情：https://github.com/Itseez/opencv/wiki/ChangeLog
下载地址：https://github.com/Itseez/opencv/
来自:开源中国社区
