搜索资源列表
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
Steerable_filters
- Matlab code to visualize Steerable filters.
anisodiff_Perona-Malik
- image processing source code of anisotropic diffusion.
Source1
- face recognition with opencv
EllipseDirectFit
- 椭圆的拟合 MATLAB源代码 很强大！-Fitting elliptical MATLAB source code is very powerful!
Gaussian
- Gaussian backgrounding using opencv
53607922HoG
- descr iption c++ de hog
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
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 fr a med face, and then use camshift tracking human face, according to the geometric features are the approximate location of the human
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
norm
- A source code of function which convert image from RGB scale - space into normalized RGB scale - space, using Visual C++ 2008 and OpenCV library. Normalized RGB scale - space can be used in color detection techniques, because this is independent
SDI_OpenCV
- 一个基于opencv的用于人脸检测和识别的MFC程序。-For opencv-based Face Detection and identification of the MFC program.
c
- opencv sample for medicine image process, especially for image enhance and motion correction.
lerningOPEVCV
- OPENCV 基础篇(刘瑞祯+于仕琪)---源代码-lerning 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
Proj3-Report
- some code for opencv in matlab