搜索资源列表
PCA--learning
- PCA数学基础介绍，以及附带用opencv写的测试程序-PCA mathematics foundation introduction, and additional opencv write with the test procedures
LearningOpenCV
- Learning OPENCV 是2008年最新的opencv学习教程 非常实用的教程-Learning OPENCV is the latest in 2008 learning opencv tutorial very useful tutorial
eigenface
- face recognition in openCV
PCA-OpenCV1-FaceDetection
- VC和OpenCV2.0实现的人脸检测的多种方法-VC and the OpenCV implementation of face detection
part1-src
- PCA in Opencv. how to use egeinface
pca
- 模式识别里面的经典PCA算法，用OpenCV视觉开发库实现的。该算法主要用于训练分类器，然后来对人脸来进行识别。-PCA algorithm developed with OpenCV
PCA
- 使用openCV矩阵运算封装的PCA（主成分分析）接口-PCA implemented using openCV functions
opencv
- 这是一个很好的中值滤波、均值滤波,边缘检测,角点检测的源程序-In the image processing in particular are often used in PCA face recognition algorithm, which is based on the Opencv the PCA algorithm.
PCA-based-on-OpenCV-and-cPP-
- 一篇用于理解PCA主成分分析的文章，该文章用基于Opencv和C++的源码对PCA进行说明。-One used to understand the PCA principal component analysis of the article, the article described the PCA-based the Opencv and C++ source.
pca
- 基于Opencv和Visual C++ 6.0的PCA实现-Based on Opencv and Visual C++ 6.0 PCA realized
pca
- PCA算法，利用opencv做的，直到计算是否匹配-PCA algorithm, using the opencv
PCA
- 用PCA的方法 基于opencv写的一个人脸检测的程序-A face detection program written using the PCA method is based on opencv
PCA
- 自己写的PCA降维程序，基于opencv，项目里使用过，现在奉献出来。-PCA dimensionality reduction program based on opencv
OpenCV-PCA-face-dimension-reduction
- OpenCV中PCA实现人脸降维，基于QT实现-OpenCV PCA face dimension reduction
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
PCA
- 用OPENCV实现了人脸识别系统，采用ORL人脸库进行测试，选择每个身份前5张做训练图，一共200个训练样本。-OPENCV achieved using face recognition system that uses the ORL testing, each identity before choosing to do training Figure 5, a total of 200 training samples.
PCA
- 主成分分析 （ Principal Component Analysis ， PCA ）；特征脸；opencv-Principal component analysis (Principal Component Analysis, PCA) characteristic face opencv
pca
- 人脸搜索简单实现，使用主成分分析算法(PCA)，依赖opencv，对若干张人脸图片进行PCA降维处理，然后将输入人脸图片与降维后的数据做比较，根据权重输出结果，权重越大则人脸越相似-Simple face search, using the principal component analysis (PCA) algorithm, opencv, for a number of face images for PCA dimension reduction, and then the input
pca
- 利用OpenCV库函数实现PCA（主成成分分析）算法，该算法是经典人脸识别算法Eigenface里的核心算法。-Use OpenCV library functions achieve PCA (Principal Component Analysis into) algorithm, which is a classic face recognition algorithm Eigenface in core algorithm.
python_face_recog
- 基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9