搜索资源列表
20130803HOGSVMOPENCV
- 学习OPENCV，HOG+SVM分类检索，调用opencv函数实现。-Learn OPENCV, HOG+ SVM classification retrieval, call the opencv function implementation.
introduction_to_svm
- 支撑向量机（SVM），源码，可直接编译，编译前需要配置Opencv和VS。 用于分类-Support vector machine (SVM), source code can be compiled directly, you need to configure before compiling Opencv and VS. For classification
People_detection
- Linux下利用Opencv实现的行人检测算法！程序简答主要用的是opencv中SVM+HOG算法！-Linux using pedestrian detection algorithm Opencv realize! Program short answer is mainly used in the SVM+ HOG opencv algorithm!
OpenCV_SVM_example
- 基于OPENCV实现SVM图像特征分类的小例子。-Implementation of SVM image classification based on a small example of OPENCV.
HUCV
- 基于OPENCV实现不变矩的计算。注意，用于SVM分类时，需要归一化。-OPENCV computing based on moment invariants. Note that, for SVM classification, normalization.
hand_writer_with_svm
- 基于opencv的手写数字识别（MFC,HOG,SVM）-Opencv handwritten numeral recognition (MFC, HOG, SVM) based
svm_-linear_unseparable
- opencv实现的svm，对标准svm原理做了基本的改进，能够处理线性不可分的情况。-opencv realized svm, svm standard basic principle made improvements to handle the case of non-linear.
e
- 用OPENCV实现支持向量机的源代码，运行于VS2010环境下运行通过-Support vector machine (SVM) to implement in OPENCV source code, run run through in VS2010 environment
algorithm
- Latent SVM算法实现行人检测；需要opencv库-Latent SVM algorithm for pedestrian detection needing opencv library
PeopleDensitydll
- 视频图像的人群密度检测，多种人群密度场景下人群计数算法： 算法功能:建立图像特征和图像人数的数学关系 算法输入:训练样本图像1,2…K 算法输出:模型估计参数 ，参考图像 算法流程：1)对训练样本图像进行分块处理(算法1.1)； 2)通过算法1.2，计算训练样本各个对应分块的ALBP特征归一化，再用K-means算法(可使用opencv等算法库实现，不再描述其算法)，将图像块分成k(k<K)类，获取k(k<K)个聚类中心，即为参考图像； 3)对分块的图像进行与
BOF_SVM
- Bag of Feature and SVM example using opencv
12_SupportVectorMachines
- 程序描述：来自OpenCV安装目录下Samples文件夹中的官方示例程序-支持向量机SVM引导.-Program descr iption: Samples folder the installation directory OpenCV official sample program- Support Vector Machine SVM boot.
13_SVMForNonLinearlySeparableData
- 程序描述：来自OpenCV安装目录下Samples文件夹中的官方示例程序-支持向量机SVM之处理线性不可分数据.-Program descr iption: Samples folder the installation directory OpenCV official sample program- Support Vector Machine SVM processing of linearly inseparable data.
hogPlbpPsvm
- 该代码是通过opencv来实现结合hog和lbp特征，通过支持向量机来进行分类决策时实现行人的检测代码，有兴趣的同学可以下载参考下！-The code is done by opencv combined with the feature of hog and LBP, by support vector machine (SVM) classification decisions to achieve the pedestrian detection code, students are in
test
- 基于Hog特征和SVM分类器进行人检测(opencv自带训练分类器)-Based on Hog and SVM classifier is used to detect the people
svm_hog_fastening
- 注释openCV封装下的svm个参数的应用-Annotation openCV encapsulation of the application of SVM parameters
111
- 基于SVM与人工神经网络的车牌识别算法，使用了OpenCV的图像处理函数，在VS2013 + OpenCV 2.4.9平台上实现-SVM algorithm based on license plate recognition and artificial neural network, using OpenCV image processing function, implemented on VS2013+ OpenCV 2.4.9 platform
PassengerDetect
- 基于Opencv的行人检测，使用HOG+SVM，先遍历文件夹再对文件夹中的所有图片进行检测并把结果输出到txt中。-Pedestrian detection based on opencv,using hog and svm.
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,
JointFacedetection20160630
- 联合adaboost和SVM的人脸检测 基于opencv库 人脸特征点检测 sift特征描述-face detection