搜索资源列表
wwe3456
- 基于多分类器组合的笔迹验证 －－文章-Based on the composition of the classifier based on the handwriting test multiple classifiers combination of handwriting authentication -- article
HaarTraining
- Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features-Rapid Object Detection With A Cascade of Bo osted Classifiers Based on Haar - like Features
recongnation
- 图像模式识别 模板匹配法 神经网络分类器 几何分类器 基于概率统计的贝叶斯分类器-image pattern recognition template matching neural network classifiers classification is based on geometric probability and statistics Bayesian classifier
Adaboost1
- This sourse is for face detection in the image and it is writed by VC. Here we use the adaboost for the main mathed In the mathed it use five features classifiers!
fenleichengxu.rar
- 用VC++实现图像的分类识别，模板匹配分类器，Bayes分类器，线性函数分类法，非线性分类法，神经网络分类器,With VC++ Achieve image classification and recognition, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers
facedet
- 人脸检测算法对Haar特征推进，我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。-A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers.
libHIK-1.5
- SVM分类器，包括训练和测试，实用的matlab包。-SVM classifiers, including training and testing, practical matlab package.
How-to-build-classifier-
- 如何利用opencv训练自己的分类器，内有多篇资料，本人用过一次，可能样本太少，效果不太好-How-to build a cascade of boosted classifiers based on Haar-like features.
Haar_classfy_target
- 利用Haar分类器寻找检测目标，进行跟踪-The use of Haar classifiers to find the target detection, tracking
Rapid_Object_Detection
- A very fast and robust object detection framework. A very simple set of Haar like box features A commensurating Image representation (that enables fast calculation of features, feature scaling and normalization) Efficient feature selectio
ComponentbasedFaceDetection
- Abstract We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support Vector Machine (SVM) classifiers. On the first level,
CRL-2001-1
- 这片论文描述了动态物体的特征跟踪，用到了15个框架。拥有很强的适应性和跟踪能力。作为人脸识别，模式识别，动态跟踪的开发人员，有很好的参考价值。用c++编写，如果用OpenCV更好-This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving high detection rates. There ar
find_the_target_using_Harr
- 利用针对某目标物体训练级联的Harry分类器寻找在图像中找到包含目标物体的矩形区域-Training against a target object using a cascade of classifiers for Harry to find in the image of the rectangle that contains the object
Class
- 分别通过模板匹配分类器、、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器对手写字进行模式分类，编写相关的程序可以参考此代码-Respectively, through template matching classifier,, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers for pattern classi
Handwritten_numeral_recognition
- 手写数字识别,分为分类程序（模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器）和聚类程序（模糊聚类、遗传算法）-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classif
codes
- 在3D坐标系下展示一些离散流形及流形上的1NN和kNN分类器-plot some discrete manifold in 3D Cartesian coordinate system；1NN and kNN classifiers on manifolds
adaboost
- Adaboost训练分类器的源代码，是快速人脸检测的必备。-It is the code for training classifiers by Adaboost to Face Detection
Counter
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
Build-cascade--classifiers--
- How-to build a cascade of boosted classifiers based on Haar-like features
face-and-facial-features-using-haar-classifiers.z
- face and facial features using haar classifiers