OpenCV3.0Alpha发布，计算机视觉库

Git@OSC 安卓客户端 1.0 正式版发布，有亮点哦！

OpenCV 3.0 Alpha 发布，该版本对项目结构进行了调整，简化了在很多视觉算法上使用 GPU 加速的方法，其他主要改进包括：

• Text detection and recognition by Lluis Gomez

• HDR by Fedor Morozov and Alexander Shishkov

• KAZE/A-KAZE by Eugene Khvedchenya, the algorithm author Pablo Alcantarilla and some improvements by F. Morozov.

• Smart segmentation and edge-aware filters by Vitaly Lyudvichenko, Yuri Gitman, Alexander Shishkov and Alexander Mordvintsev

• Car detection using Waldboost, ACF by Vlad Shakhuro and Nikita Manovich

• TLD tracker and several common-use optimization algorithms by Alex Leontiev

• Matlab bindings by Hilton Bristow, with support from Mathworks.

• Greatly extended Python bindings, including Python 3 support, and several OpenCV+Python tutorials by Alexander Mordvintsev, Abid Rahman and others.

• 3D Visualization using VTK by Ozan Tonkal and Anatoly Baksheev.

• RGBD module by Vincent Rabaud

• Line Segment Detector by Daniel Angelov

• Many useful Computational Photography algorithms by Siddharth Kherada

• Shape descriptors, matching and morphing shapes (shape module) by Juan Manuel Perez Rua and Ilya Lysenkov

• Long-term tracking + saliency-based improvements (tracking module) by Antonella Cascitelli and Francesco Puja

• Another good pose estimation algorithm and the tutorial on pose estimation by Edgar Riba and Alexander Shishkov

• Line descriptors and matchers by Biagio Montesano and Manuele Tambourin

• Myriads of improvements in various parts of the library by Steven Puttemans; thank you a lot, Steven!

• Several NEON optimizations by Adrian Stratulat, Cody Rigney, Alexander Petrikov, Yury Gorbachev and others.

• Fast foreach loop over cv::Mat by Kazuki Matsuda

• Image alignment (ECC algorithm) by Georgios Evangelidis

• GDAL image support by Marvin Smith

• RGBD module by Vincent Rabaud

• Fisheye camera model by Ilya Krylov

• OSX framework build script by Eugene Khvedchenya

• Multiple FLANN improvements by Pierre-Emmanuel Viel

• Improved WinRT support by Gregory Morse

• Latent SVM Cascade by Evgeniy Kozhinov and NNSU team (awaiting integration)

• Logistic regression by Rahul Kavi

• Five-point pose estimation algorithm by Bo Li

完整记录请看：http://code.opencv.org/projects/opencv/wiki/ChangeLog

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。