搜索资源列表
SVM
- OpenCV机器学习SVM支持向量机的分类程序 word格式-OpenCV machine learning support vector machine SVM classification procedure word format
SVM-opencv-visual-C-6.0
- opencv中的支持向量机源程序，将日文翻译过来，中文注释，通俗易懂，比较adaboost-opencv source of support vector machines, translated to Japanese, Chinese, comments, user-friendly, more adaboost
000
- Mahalanobis距離是一個可以準確找出資料分布上面極端值(Outliers)的統計方法,使用線性迴歸的概念,也就是說他使用的是共變數矩陣以及該資料分布的平均數來找尋極端值的產生,而可以讓一群資料系統具有穩健性(Robust),去除不必要的雜訊訊息,這邊拿前面共變數矩陣的資料為例,並且新增了兩個點座標向量來做Mahalanobis距離的比較-Mahalanobis distance is the information that can accurately identify the dis
CV_SVM
- 支持向量机代码，用到了opencv，用此程序前要先安将opencv-Support Machine Vector, this programme used opencv, the opencv must be installed first before we use this programme
lbp
- 1.解压缩之后，在vs2008下可直接运行，不过需要安装opencv 2.提供人脸检测与识别功能 3.人脸识别，需要预先选定文件夹提取特征向量，然后才可以选取比较，这个需要改源程序-1. Unzipped, run directly under the vs2008, but need to install opencv 2. Provides face detection and recognition 3. Recognition, pre-selected folder nee
18241674calcPCA
- 利用Visualc++简单快速计算矩阵的特征值和特征向量 -Using Visualc++ is simple and fast calculation of eigenvalues and eigenvectors
407144_0ada6272e76cf408
- 设置kalman滤波器中噪声大小以及状态状态转移矩阵，测量向量，就可以进行目标的跟踪。 -Kalman filter set size and noise in the state transition matrix, measurement vector, target tracking can be carried out.
SVM
- VC6.0编写，基于OpenCV的支持向量机分类程序，在400×400的平面上生3类随机样本点，然后给出利用SVM分类的决策面和支持向量-VC6.0 written OpenCV-based support vector machine classification procedures, the plane of 400 × 400 random samples of raw Category 3 points, and then give the decision-making surfac
bayes
- 很完整的朴素贝叶斯分类器，基于openCV做点。先随机生产一个2维特征向量，然后使用贝叶斯来分类并且现实。-Is complete the simple Bayesian classifier, based on openCV to do. First production of a random 2-dimensional feature vector, and then to use Bayesian classification and reality.
SVM_classification
- OpenCV SVM分类测试代码 利用SVM解决2维空间向量的3级分类问题-OpenCV SVM classification test code to use the three classification problems SVM to solve the two-dimensional vector space
letter_recog
- 此示例演示如何训练随机树分类推进分类器，或MLP，或Knearest，或Nbayes，或支持向量机-This example demonstrates how classified propulsion classifier training random tree, or the MLP, Knearest, or Nbayes or support vector machines
ex4_9
- 图像稳定。编译lkdemo代码（运动跟踪或光流法代码）。在一个更大的窗口中创建并显示视频图像。轻轻移动摄像机，并用光流法的向量将图像显示在大窗口中，并保持画面的稳定。这是一个基本的图像稳定技术-Image stabilization. Compiled lkdemo code (motion tracking or optical flow method code). Create and display video images in a larger window. Gently move
NumberPlateRecognition
- 利用支持向量机以及神经网络对车牌号码进行识别。-Number Plate Recognition Using SVM and Neural Networks
HOG
- vs2010+opencv的HOG的特征向量提取-HOG feature vector extraction
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
Demo
- 有关车牌识别的程序，是支持向量机和神经网络一起写的。包括车牌的预处理、定位、分割、字符识别等。-For license plate recognition program, support vector machines and neural networks wrote together. Pretreatment including the license plate, positioning, segmentation and character recognition.
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
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
opencv
- 图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
hand_writer_with_svm
- 实现阿拉伯数字0到9的识别。方法是支持向量机。有MFC工程。-Realization of Arabic numerals identify 0-9' s. The method is support vector machine. There MFC project.