搜索资源列表
vehicle_detection
- vehicle_detection 的相关代码，供大家参考，haar 级联器-dode for vehicle_detection，used for reference
facedetect-test
- 基于hog特征与支持向量机的方式，使用opencv自带的haar特征分类器，检测人脸-Adapt to hog feature and support vector machine (SVM) method, based on positive and negative samples opencv training face,
wavelet
- 关于小波变换的练习程序，小波变换步骤： 1.把小波w(t)和原函数f(t)的开始部分进行比较，计算系数C。系数C表示该部分函数与小波的相似程度。 2.把小波向右移k单位，得到小波w(t-k)，重复1。重复该部知道函数f结束. 3.扩展小波w(t)，得到小波w(t/2)，重复步骤1,2. 4.不断扩展小波，重复1,2,3. 这里使用的haar小波，缩放函数是[1 1]，小波函数是[1 -1]。-Exercise programs on wavelet transform, wa
wavelet-dwt
- 已经在VS2010上调试过了，daubchies小波，haar小波，bsplane小波，poly小波，line小波，都能使用-Already on the VS2010 debugging, daubchies wavelet, Haar wavelet, bsplane wavelet, poly wavelet, line wavelet, can use
OpenCV-harris-corner-detection
- oponcv haar 角点检测，包含可以运行的完整代码。-oponcv haar corner detection, contains the complete code can run.
eye-detection
- opencv人眼检测算法，此算法是基于haar分类器的简单算法，可以实现摄像头视频的实时监测。算法简单但是很是实用，所以上传与大家分享-opencv eye detection algorithm, which is a simple algorithm based on haar classifier, can achieve real-time video surveillance camera. Algorithm is simple but very practical, so uplo
HAAR
- Harr特征提取人脸特征，MATLAB代码-Harr feature extraction face feature, MATLAB Code
Desktop
- 用matlab实现二维哈尔小波变换和逆变换程序-Using matlab to achieve two dimensional Haar wavelet transform and inverse transform procedures
haar_face_detection
- 运用Adaboost算法haar分类器实现的人脸检测，帧率是32。-Using Adaboost face detection algorithm of Haar classifier, the frame rate is 32.
ConflHyperGeomFun
- Haar wavelet transform in matlab
face-detect
- 通过opencv实现了对图像采用Haar特征实现中人脸检测的功能-Through the opencv realized of face detection in image using Haar feature implementation functions
positive
- haar-like 训练正样本 有大概几十张图片可以供来训练cascade detector-postive samples
Haar
- 用python语言实现的基于Harr特征的人脸检测算法，可以用于人脸的检测，眼睛，鼻子等脸部五官的检测-Using python language based on the Harr feature-based face detection algorithm can be used for the detection of face, eyes, nose and other facial features detection
Adaboost-FaceDetection-master
- 用于人脸检测的haar+adaboost matlab的代码-For face detection haar+adaboost matlab code
HAAR
- 用于人脸识别中图像特征提取的特征提取算法ha-Feature extraction algorithm
MATLAB
- 手动实现的哈尔小波变换，没有借用外部库,如有问题请回复-haar wave transform
face
- 主要是利用Haar分类器方法进行人脸检测，在程序中可以做到人脸识别，和人脸检测，即可以检测到人脸，识别出人脸。-Mainly using Haar classifier for face detection, in the program can do face recognition, and face detection, which can detect the face, identify the face
haarPadaboost
- adaboost算法中用于计算haar特征值的代码-The code used in the adaboost algorithm to compute haar eigenvalues
wvt-recgonize
- 几种调制方式的haar小波变换，包括MPSK，MASK，MFSK，MSK，MQAM.-Haar of MPSK，MASK，MFSK，MSK，MQAM
fsk2---haar
- 2FSK信号的小波分解，并提取信号的细节系数-Wavelet decomposition 2FSK signal and extracts a signal of detail coefficients