搜索资源列表
FaceDetectionDlg
- 应用OpenCV进行人脸检测。Adaboost算法实现起来比较复杂,应用OpevCV提供的函数和分类器进行人脸检测将十分容易。-Application of OpenCV for face detection. Adaboost algorithm to achieve more complex, applications provided by OpevCV function and classifier for face detection will be very easy.
Bayes_classifier_useful
- 关于贝叶斯分类器设计的实验,适合入门,上一个传错了,抱歉-Bayesian classifier on the experimental design is suitable for entry, a mass is wrong, sorry
zifushibie
- 光学字符识别系统,包括图像预处理、特征提取和分类器设计。-Optical character recognition system, including image preprocessing, feature extraction and classifier design.
ipr.iso
- 《图像模式识别--VC++技术实现》/ 杨淑莹编著 配套cd 夲书介绍图像模式识别的各种算法及其编程实现。内容包括:模式识别的基夲槪念,模板匹配分类器,几何分类器,聚类分析,遗传算法聚类分析等。-" Image pattern recognition- VC++ technology to achieve" /杨淑莹edited夲book cd package introduced a variety of image pattern recognition algori
bayesgauss
- 图像模式识别中使用的高斯型贝叶斯分类器,提供完整的参数选择-Gaussian Bayesian classifier
ClassCode
- 本程序基于matlab实现了贝叶斯分类器,是模式识别理论中基本的操作,希望对初学者有帮助。-This procedure achieved a matlab-based Bayesian classifier, Pattern Recognition Theory is the basic operation, and they hope to be helpful for beginners.
main
- 基于最小平方误差准则函数的分类器设计编写程序过程中,难点是收敛判别-Based on the least square error criterion function of the classifier design process of the preparation process, the difficulty of convergence discriminant
HaarTraining
- OPENCV训练过程的说明文档, 在样本创建;训练分类器;利用训练器进行目标检测作了操作说明 源程序在安装OPENCV时,自带apps\HaarTraining-OPENCV training process documentation, created in the sample training classifier the use of training devices for target detection was made in the installation inst
haarcascade_frontalface_alt2
- 前脸的检测,分类器,训练分类器,人脸检测,opencv-Prior to face detection, classification, and the training classifier, face detection, opencv
picVC
- 图象模式识别--VC++技术实现 ① 选择【模板匹配分类器】菜单,可以应用模板匹配算法进行分类。 ② 选择【Bayes分类器】菜单,可以应用Bayes算法进行分类。 ③ 选择【线性函数分类法】菜单,可以应用线性函数算法进行分类。 ④ 选择【非线性分类法】菜单,可以应用非线性算法进行分类。 ⑤ 选择【神经网络分类器】菜单,可以应用神经网络算法进行分类。 -Image pattern recognition- VC++ technology to achieve
opencv
- 使用Haartraining训练层叠分类器-Haartraining
geometricclassifier
- 基于几何分类器的手写数字识别系统,delphi7-Based on geometric classifier handwritten numeral recognition system
PatternRecognition
- 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字,包括临时手写的数字,也包括图片中的数字 -Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
AdaBoost_weaklearner_1
- adaboost 弱分类器学习算法,最成功的人脸识别算法。但是学习时间很长,这是它的缺点-adaboost
wode
- 可以使用cv里面自带的分类器进行人脸检测,效果不错-Cv can be used inside the built-in classifier for face detection, good results
face
- 人脸识别程序,采用的是knn分类器,基于类内类间距离准则,特征提取。-Face recognition process, using the knn classifier, based on within-class inter-class distance criteria, feature extraction.
renlianshibie
- 利用PCA对人脸图像进行降维,然后训练神经网络分类器的Matlab程序-the Matlab in face recoginization using PCA algorithm
pca_knn
- 本方法采用pca进行特征提取,knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
NaiveBayesianclassifier
- 朴素贝叶斯分类器识别鼠标输入的字母A-J-Naive Bayesian classifier to recognize the letters AJ mouse input
Bayes
- 传统贝叶斯分类器,最小错误率贝叶斯分类器、最小风险贝叶斯分类器-Traditional Bayesian classifier, the minimum error rate classifier, minimum risk Bayes classifier