搜索资源列表
k_means
- 实现K-means算法，高斯随机分布抽取数据 利用k-means算法实现分类-Implement K-means algorithm to extract the data using Gaussian random distribution of k-means classification algorithm
sift_descriptor
- opencv的sift算法 Video Retrieval System 视频分类与检索，世界trieckvid大赛使用参考-opencv The sift algorithm for Video Retrieval System video classification and retrieval, with reference to the World trieckvid Competition
svm-detect-paper
- svm分类检测算法研究，用到opencv相关库，是论文来的，希望能够对所需者有用-svm detect paper
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
classifer
- 二分类问题采用包括逻辑回归、最小二乘法、感知器算法（按下space不断迭代）、svm线性分类，另外还有高斯分线性分类（待完善），针对平面上两类点进行分类-Second classification using logistic regression, the method of least squares, perception algorithm (Press space iteratively) svm linear classification, in addition to the Ga
K_Mean
- 关于K均值算法在遥感图像地物分类处理方面的应用-K-means algorithm in remote sensing image processing
253f30664450
- 用于遥感图像分类处理的一个基于C++的遗传算法聚类程序-For remote sensing image classification based on genetic algorithm clustering procedure of the C++
logistic-regression
- 采用随机梯度算法，来利用逻辑回归对训练集进行分类-Classify the training set by logistic regression
111
- opencv用已训练好的分类器检测视频算法-opencv video with a good classifier algorithm has been trained to detect
OpenCV-camera-video-capture-sample
- 旧版OpenCV总是打不开现在的电脑摄像头，因此，查阅Opencv3.0文档后，发现其中部分类做了改进，程序为通过OpenCV3.0版本中的VideoCapture类打开电脑自带摄像头，用Mat类读取每帧图像，并利用边缘检测算法对视频边缘检测输出。-Older always OpenCV computer camera not open now, so consult Opencv3.0 document, found part of the class has been improved th
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
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
opencv_ann
- 使用opencv的机器学习模块用多层神经网络算法实现对二维特征的分类。并具有一定的可视化处理。只上传了主要代码。不包含工程文件-Opencv using machine learning module for two-dimensional feature free multilayer neural network algorithm. And have some visualization. Upload only the main code. It does not contain a p
backprop
- bp神经网络的算法实现，主要用于分类，检测等，很有效的方法。-bp neural network realization algorithm for classification and testing
haartraining
- 基于haar特征的分类算法，opencv代码，训练分类xml文件-Haar feature based classification algorithm, opencv code, training classification xml file
classification
- 利用opencv和C++编写一个分类程序。主要是利用opencv自带的SVM算法进行编写。-Use opencv and C++ write a classified program. Mainly using opencv SVM algorithm comes prepared.
MFCVIDEO
- 基于opencv的运动人流分类，采用了帧差法、DBSCAN聚类算法实现-Based on opencv motion flow classification, using the frame difference, DBSCAN clustering algorithm
kmeans
- 基于windows平台和k-聚类算法，对平面点集进行聚类(Based on the windows platform and the k- clustering algorithm, the plane point set is clustered)
knn
- 通过knn分类算法识别魔方的色块颜色，加入是否识别成功判断，成功识别率比阈值法识别更高。有完整的备注(Through the KNN classification algorithm to identify the color block of the cube, the success rate is higher than the threshold method. Code has complete comments)