发布于 2014-08-22 01:30:00 | 662 次阅读 | 评论: 0 | 来源: 网友投递
这里有新鲜出炉的Python-OpenCV 图像与视频处理教程，程序狗速度看过来！
OpenCV 跨平台计算机视觉库
OpenCV的全称是：Open Source Computer Vision Library。OpenCV是一个基于（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，同时提供了Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法。
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的全称是：Open Source Computer Vision Library。OpenCV是一个基于（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，同时提供了Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法。