搜索资源列表
rennian
- opencv实现人脸检测 用的是harr分类器
Canny
- 基于OpenCV,实现canny的算法检测
humantrack.rar
- opencv实现的人体运动跟踪源码，简单易懂,opencv implementation of human motion tracking source, easy-to-read
GMM_opencv.rar
- 用OpenCV实现的GMM背景建模，自己写的，一直在使用,Background modeling based on GMM(Development Environment: VC, OpenCV)
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.
Facetracking
- 使用OPENCV实现视频流中的人脸跟踪以及眼睛定位-The use of video streaming OPENCV implementation of the Human Face Tracking and Eye Location
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
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
FCM_CPP
- 模糊C均值聚类算法（FCM）的VC++实现-Fuzzy C means clustering VC++ Implementation
fractalcompression
- 基于Opencv和MFC的分形图像压缩实现程序，Opencv用于读取图像，可以用其他库代替-fractal compression with Opencv and MFC
FaceDetection_MATLAB_Call_OpenCV
- 本程序在MATLAB中调用了OpenCV的AdaBoost检测器实现了人脸检测，还可用来学习MATLAB中调用C/C++代码的方法，研究人脸识别和希望熟悉MATLAB的同志们不妨试一试。-This procedure is called in MATLAB, OpenCV the AdaBoost detector implemented face detection, can also be used to learn MATLAB to call C/C++ code used to stu
cvtest_08
- opencv实现调用摄像头，进行人脸检测！-opencv call camera, face detection!
Face-recognition-based-on-PCA
- 基于PCA的人脸识别 适用于样本文件数量较小，用opencv实现-PCA-based face recognition for smaller number of sample documents, using opencv
facerecognition
- 人脸检测 基于opencv实现 需要安装opencv 在VS2008平台那个开发-Face detection is based on need to install opencv opencv realized that development in VS2008 platform
svm
- opencv实现的svm算法的代码示范，可用于学习svm的原理和使用效果。-opencv svm algorithm implementation code demonstration svm can be used to learn the principles and results.
svm_-linear_unseparable
- opencv实现的svm，对标准svm原理做了基本的改进，能够处理线性不可分的情况。-opencv realized svm, svm standard basic principle made improvements to handle the case of non-linear.
libSVM-opencv
- 使用opencv实现SVM，测试样例是三种不同的花，具有不一样的花瓣长度等参数-Using opencv achieve SVM, test samples are three different flowers, with petals of different parameters such as length
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)
ICP算法二维实现
- ICP算法实现自动配准，基于opencv及vs实现，是二维的(ICP algorithm for automatic registration, based on opencv and vs implementation, is two-dimensional)
使用python调用摄像头数据实现虚拟背景
- 基于python+pytorch+opencv实现的复杂环境下的虚拟背景功能