搜索资源列表
SIFTSURF
- SIFT算法、SURF算法和PCA—SIFT算法的实例，里面要安装OPENCV才能用的-SIFT algorithm, SURF algorithm and PCA-SIFT algorithm instance, which can be used to install OPENCV
facedetect
- 基于OpenCV的人脸检测实例，蛮有用的-OpenCV Face Detection Based on examples, giving a pleasing use
LearningOpenCV_Code
- 图像 处理visual c++实验里的实例源代码。-Instance of source code the image image processing visual c++ for experiments.
Cartoonifier_Desktop
- OpenCV 一个实例，调用摄像头，对人脸进行卡通化的实例-This code will show you how to write some image-processing filters for Android smartphones and tablets, written first for desktop (in C/C++)
Corner-detection
- 角点检测实例源代码。运行在visual c++下。运行前要配置好opencv，否则会出错。-Corner detection source code examples. Run under the visual c++. To configure before running opencv, or an error occurs.
OpenCV_BC
- 该程序是在C++ Builder环境下调用OpenCV函数库，有简单的实例-The program is in the OpenCV function call C++ Builder environment database, a simple example
opencv-source-code
- 用Visual C++6.0和opencv1.0搭建的基于opencv初学者的实例源代码.-Using Visual C++6.0 and opencv1.0 built based opencv source code examples for beginners.
source-code
- Opencv教程的实例源代码 书中的C/C++语言实例。各实例子目录中的*.dsw和*.dsp文件分别为Windows下Visual C++ 6.0的Workspace文件和Project文件；Makefile是Linux下GNU Make的输入文件。在Windows环境下，双击*.dsw文件将会启动Visual C++ 6.0并装载该实例；在Linux环境下，输入make命令就可以编译该实例。-Opencv tutorial source code examples in the book
thinning
- opencv的细化算法 里面有实例图与源程序 用vs2010写成 低版本的无法直接打开的可以复制cpp的代码重新编译-thin method by opencv written by c++ vs2010
emguPic
- emguC#编程实例，实现简单的透视形变-develop with emgu and C#
opencv1
- 基于opencv开源图像处理库在vs环境下c++开发的图像视频处理实例运动物体检测识别-Opencv source image processing library in c++ development environment vc image processing example video motion detection and identification of objects based on
Linear-filtering
- 几种线性滤波C++程序实例，使用opencv实现-Several linear filter C++ program examples, the use of OpenCV to achieve
MultiChannelBlending
- 图像多通道混合技术，基于C++编写，内有测试实例可供参考-Image Multi-channel hybrid technology, based on C++ write, there are test cases for reference
Affine_Transform_comprehensive
- c++,opencv实现仿射变换的综合实例，vs2015,opencv 3.4及以上版本均可直接运行(Affine_Transform_comprehensive)