OpenCV 3.1 发布计算机视觉库

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，详细改进内容请看发行说明。

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)