搜索资源列表
ifdef
- 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。 -Face Detecti
Calibrtwocama
- 这是前段时间自己写的一个给两个摄像机定标的对话框程序，核心部分根据是张正友的opencv算法和代码改编。对学习标定有帮助。-This is the side of himself wrote a two camera to the subject of the dialog box procedure, According to the core are Mr opencv Friends of the algorithm and code adaptation. Calibration of
MeanShiftTracking
- 国外一个大牛人写的MEAN-SHIFT目标跟踪算法，程序使用了OPENCV函数库。-abroad a large cattle written by MEAN - SHIFT target tracking algorithm, OPENCV procedures for the use of the libraries.
VideoShow
- 这是一个朋友做的人脸检测软件，是基于OpenCV 做的，很具有参考价值-This is a friend to do face detection software is based on OpenCV do, it is very valuable reference
predict
- 利用OpenCV库实现的一个Kalman滤波的例子。-A Kalman filter example achieved with OpenCV.
opencv to matlab
- cvlib_mex is a collection (over two dozens) of matlab callable routines from the the OpenCV library (www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processing capabilities and it is amaz
opencv to matlab
- cvlib_mex is a collection (over two dozens) of matlab callable routines from the the OpenCV library (www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processing capabilities and it is amaz
MushroomClassification
- opencv实现的mushroom数据的分类，一共有八种不同的学习方法，包括贝叶斯、SVM、神经网络，等等。-opencv implementation mushroom data classification, a total of eight kinds of different learning methods, including Bayesian, SVM, neural networks, and so on.
CISE
- 这是一个使用fcm对彩色图像分割，VC开发，效果非常好，编译需要OpenCV-This is a color image segmentation using the fcm right, VC development, the effect is very good, you will need all OpenCV
VIS
- 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
kalman
- 在C++语言中利用OpenCV插件 进行卡尔曼滤波-Using OpenCV to achieve a kalman filtering
pointset
- 基于OPenCV的源码，用于分割而为点集，函数执行二次方程的算法，将集合拆分成一个或更多的等效类。-Based on the source OPenCV for partition and for the point set, function to implement the algorithm quadratic equation will be split into a set of equivalent or more categories.
condensationparticalfilter
- 实现了粒子滤波功能，主要用在跟踪等各个方面，是一个很好的算法-The realization of the particle filter, mainly used in tracking all aspects of the algorithm is a very good
OpenCVMatlab
- OpenCV库的Matlab函数封装调用 cvlib_mex封装了OpenCV库大约30个函数，OpenCV是当前流行的实时计算机视觉库，拥有很多的图像处理的算法。-cvlib_mex is a collection (over two dozens) of matlab callable routines from the OpenCV library www.intel.com/research/mrl/research/opencv/). OpenCV is a real time
hartigansSLC_OpenCV
- hartigans Sequential Leader Clustering Algorithm in terms of OpenCV (ver.1.1) Sequential Leader algorithm: Hartigan, J. A. (1975), Clustering Algorithms. John Wiley and Sons, Inc., New York, NY. 1. Select maximum cluster "radius" 2
TX_HD_PP_CORR2
- 基于灰度匹配准则的图像匹配，能快速找出对应下帧图像中对应的图像-Matching criterion based on a grayscale image matching, can quickly find out the corresponding frame image in the image
openCV-program
- 人脸识别特指利用分析比较人脸视觉特征信息进行身份鉴别的计算机技术。人脸识别是一项热门的计算机技术研究领域，它属于生物特征识别技术，是对生物体（一般特指人）本身的生物特征来区分生物体个体。 -learning on opencv a book supporting source, can be used as learning opencv reference for the beginner, want to learn computer help visual learners
OpenCV
- opencv的学习资料，有非常详细的说明，内容完整，很久才找到-opencv learning materials, a very detailed descr iption of the contents of a complete, long time to find
火焰检测识别
- 用vs2013 opencv3.0 实现了视频中火焰检测，test视频是打火机，和小火堆，都可以进行识别，是很好的颜色识别。(With vs2013 opencv3.0 video flame detection, test video is a lighter, and small fire, can be identified, is a good color recognition.)
pytorch-openpose-master
- 本例程是我研究生阶段做的一个小项目，该项目用pytorch的深度学习框架来进行人体姿态识别，能够实现头部和身体的骨架识别！图像处理方面加入了OpenCV包进行相关的处理，希望能帮助大家！(175/5000 This routine is a small project that I did in the graduate stage. The project uses pytorch's deep learning framework to recognize human body postu