搜索资源列表
contours
- an application for contours detection with openCv library using Visual C++ on windows platform-an application for contours detection with openCv library using Visual C++ on windows platform a a a a a a
Sgs
- 基于opencv的单高斯模型实现物体检测-Achieve object detection based on single Gaussian model opencv
GS
- 基于opencv实现的去除背景后的单高斯算法-Gauss algorithm based on single post opencv realized remove background
Nine_block_box
- 实现自动寻找九宫格初始状态到目标状态的最短路径并结合opencv图像切割以图像的形式展现出来。-Looking squared automatic initial state to target state and the shortest path opencv combined with images cut to form an image unfolded.
TV-L1 optical flow based mosaicing GUI
- This is an OpenCV implementation of TV-L1 optical flow algorithm of Chambolle and Pock. A graphic interface is provided to create mosaics using this optical flow method. The project files are included and are to be used with Microsoft Visual Studio.
SVM
- 自己用opencv实现的机器学习十大算法中的支持向量机算法，经过测试，算法运行很好-Own opencv realize with the machine learning ten algorithms in support vector machine algorithm, tested, the algorithm runs very well
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行
INRIAHogLbpLabel
- 本方法是hog+lbp+svm来判断是否为行人，函数库为opencv，代码为C++，hog是opencv自带的，lbp为均匀模式，59维度，训练样本为INRIA数据集-opencv lbp svm president detection inria data
hough-circle
- opencv 霍夫圆检测 c++实现 编译环境是visual studio 2015-opencv hough circle
smokedetection
- 用VS2010和OPENCV编写的关于视频烟雾检测的程序，运行效果很好-With VS2010 and OPENCV prepared on the video smoke detection procedures, running very well
eigen3.2.8
- Eigen3.2.8为矩阵计算工具，需要编译后才能运行，在官网找了很久，发现没有这个版本了，然后上传一份，方便后面有需要的人使用，可以在openCV、PCL等库中应用-Eigen3.2.8 for the matrix calculation tool, you need to compile to run, in the official website to find a long time, found that there is no such version, and then upl
2013041677756857
- 基于matlab开发的手势识别,里面有测试代码和图片 还有一个可以运行的.fig文件,可以直接运行的.并且同时分享了matlab的源码,效果很不错,可以学习和参考.相比C++开发的要简单易懂，可以通过代码了解手势识别的方法和原理，可以先学习matlab版的手势识别，再尝试编写C++和opencv版的。(Gesture recognition based on MATLAB development, there are test code and pictures and one can run
FaceRecognition-tensorflow-master
- 可以通过摄像头识别是不是本人，主要使用的是opencv进行人脸识别，测试环境是tensorflow(You can recognize me through the camera)
8数码
- 需要说明的是：本文示例图中的目标状态在计算上是最快捷的，首先取数很方便，一般地查看目标在第i个位置上的值，则需要访问数组goal[i]，而这里goal[i]==i，故而无需访问数组；第二，要想知道数码n的目标位置，则需要找到goal[i]==n，然后row=i/3,col=i%3. 但是这里的话，row=n/3,col=n%3. 当我们用8位无符号整型来表示各个数码值(0~8)时，n/3和n%3操作是非常快的，比访问数组还快。 程序还提供一种玩游戏模式，即用户自己通过W,S,A,D四个键分
一维码算法
- 用opencv做的一维码算法，c++平台，仅供参考。(OpenCV to do with one-dimensional code algorithm, c++ platform for reference purposes only.)
提取像素值
- 使用opencv 提取像素点，工具vs2013(Extracting pixel points)
目标跟踪
- 通过手动框选目标区域，然后进行自动跟踪，使用的算法是Camshift，自适应均值漂移(By manually selecting the target area, then automatic tracking, using the algorithm is Camshift, adaptive mean shift)
python科学计算第二版（可编辑）
- 好书，讲解最流行的python计算库，包含numpy、scipy、matlab、opencv等(a good book about the processing massive data by python)
project
- 基于c++语言和opencv的视觉立体匹配(Visual stereo matching based on c++ language and opencv)
改进的高斯混合背景模型的实现
- 利用改进的高斯混合模型对前景目标的提取有较好的作用，这是基于OpenCV的C++程序，请安装OpenCV库进行调试(The improved Gauss mixture model has a good effect on foreground target extraction. This is a C++ program based on OpenCV. Please install OpenCV library for debugging)