搜索资源列表
HoughLine
- 利用OPenCV写的一个hough变换检测直线的程序
gauss_model
- 基于opencv写的高斯背景建模的程序。对于车辆检测比较有用
rennian
- opencv实现人脸检测 用的是harr分类器
BK_Gauss混合高斯背景
- 本算法基于混合高斯模型编程，采用opencv库，能够运行
facetect_matlab
- Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade object detectors from the Intel Open Computer Vision Library.
MRF_imgSeg
- 有指导的马尔可夫随机场（MRF）的图像分割代码，是有指导的方式（即用鼠标框出分类样本区域）。采用OpenCV编写。
opencv_core_b1_5
- OPENCV系列的，关于CORE，应该挺有用的，大家自己看看吧！-OPENCV series of CORE, should be quite useless, we all see!
HMMsource
- HMM用于人脸识别，从OPENCV里提取出来的,非常经典的说-HMM for face recognition, OPENCV extract from the very classical said
predict
- 利用OpenCV库实现的一个Kalman滤波的例子。-A Kalman filter example achieved with OpenCV.
AdaBoost人脸识别
- 用opencv在vc6.0下开发的人脸识别程序
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
blinkdetect-src
- 眨眼检测，先用haar特征框定人脸，然后用camshift跟踪人脸，根据几何特征得到人眼的大概位置，然后根据直方图的变化检测眨眼-Blink detection, the first feature with the haar framed face, and then use camshift tracking human face, according to the geometric features are the approximate location of the human ey
learcode
- 行人检测源程序，居于svm技术。和梯度直方图提取-Pedestrian Detection source, living in SVM technology. And gradient histogram extraction
Neuralnetworkpreprocessing
- 神经网络预处理，进行特征提取、归一化等方面的工作。-Neural network preprocessing, feature extraction, normalization, etc. work.
eDetection
- 静态人脸检测程序，注意需要OpenCV提供的库支持，因此请首先到相关网站上下载并安装OpenCV，-Static face detection process, attention to the need to provide OpenCV library support, so please be the first to the relevant Web site to download and install OpenCV,
featureExtraction
- 图像处理中的特征提取算法，做识别和检测也许都用的上-Image processing feature extraction algorithm, making identification and testing may be used on both
classification
- 图像处理与模式识别中的识别算法，刚才传了特征提取，这是后续-Image processing and pattern recognition in the recognition algorithm, just pass the feature extraction, which is the follow-up
facedetect
- adboost算法下的人脸检测，以及opencv-adboost under the face detection algorithm, as well as opencv
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
Kinematics
- 6自由度机器人Jacobian(雅克比)矩阵计算类！MLGetIdentityMat为获得单位矩阵 cvInvert取逆 MLMatMulti_3矩阵相乘没有给出定义请大家自己完成，其中cvInvert为OpenCV库函数！-A computal class for 6 degree of freedom robot Jacobian Matrix.MLGetIdentityMat is the function to get a Identity Matri.MLMatMulti_3 is t