OpenCV 3.1 發布，此版本更新內容如下：此版本是 3.x 系列的第一個穩定版本，詳細改進內容請看發行說明。
OpenCV 3.1 支持最新的 Windows 和 OS X 作業系統和最新的開發工具 (VS2015 和 Xcode 7)；支持 Andorid 5。
主要改進：
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)
下載：
OpenCV 是 Intel 開源計算機視覺庫。它由一系列 C 函數和少量 C++ 類構成，實現了圖像處理和計算機視覺方面的很多通用算法。
OpenCV 擁有包括 300 多個C函數的跨平臺的中、高層 API。它不依賴於其它的外部庫——儘管也可以使用某些外部庫。
OpenCV 對非商業應用和商業應用都是免費（FREE）的。（細節參考 license）。
OpenCV 為Intel Integrated Performance Primitives (IPP) 提供了透明接口。 這意味著如果有為特定處理器優化的的 IPP 庫， OpenCV 將在運行時自動加載這些庫。