搜索资源列表
watermodelfft
- 利用OPENCV做图像的傅里叶变换以达到对图像的降噪处理-OPENCV done using the Fourier transform of the image in order to achieve noise reduction of the image
cvResize
- Resize 圖像大小變換 void cvResize( const CvArr* src, CvArr* dst, int interpolation=CV_INTER_LINEAR ) src 輸入圖像. dst 輸出圖像. interpolation 插值方法: * CV_INTER_NN - 最近鄰插值, * CV_INTER_LINEAR - 雙線性插值 (預設使用) * CV_INTER_AREA
pca
- 实现pca功能，进行数据降维，使算法简单化-Realize pca functions, to data dimension reduction, the method is simple
pca
- pca算法的matlab实现，进行数据的降维处理-Pca algorithm matlab, the data dimension reduction processing
Face-recognition-based-on-PCA
- 基于vc++6.0和opencv1.0的单样本人脸识别。用了PCA和2DPCA降维，效果不错。附带样本-Face recognition based on the vc++6.0, and opencv1.0 single sample. With the PCA and 2DPCA dimensionality reduction, good results. Comes with sample
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
doPyrDown
- //日期：2012年12月1日 //环境：openCV2.3+window-xp+visual studio 2010 //项目：window32控制台 //功能：将图像进doPryDown //注意：只是将图像缩小一倍-//Date: December 1, 2012// environment: openCV2.3+window-xp+visual studio 2010// Project: window32 console// function: the image in
OpenCV-PCA-face-dimension-reduction
- OpenCV中PCA实现人脸降维，基于QT实现-OpenCV PCA face dimension reduction
FaceRecognition
- 人臉辨識，訓練+測試 且運用PCA 降低為度找出特徵向量-Face recognition, training+ tested and find out the degree of reduction using PCA eigenvectors
compressiveTracking
- 压缩跟踪 是一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-Compression tracking A simple and efficient tracking algorithm based on compression perception. First use of random eligible for c
PCA_upload
- PCA降维程序，matlab代码，简单实用-efficient and effective PCA dimension reduction
serpinski_triangle
- The Sierpinski triangle (also with the original orthography Sierpiński), also called the Sierpinski gasket or the Sierpinski Sieve, is a fractal and attractive fixed set with the overall shape of an equilateral triangle, subdivided recursively into s
PCA
- PCA人脸降维，基础内容，有利于学习掌握人脸特征，减少计算量-PCA face dimension reduction, basic content, is conducive to learning and mastering facial features, reduce the amount of calculation
PCA
- pca降维代码，主要用来给图片进行降维，程序不长，直接用，很方便(PCA Dimension reduction code)
image_noise_reduction
- The program is based on VS2010 + OpenCV2.4, used for image noise reduction processing or remove facial wrinkles.The program from the BBN Computer Vision Lab.
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
test_edge_detection
- 对图像首先进行3*3内核平滑降噪，然后使用Canny算子做边缘检测(First perform 3*3 kernel smooth noise reduction on the image, then use Canny operator for edge detection)