搜索资源列表
haarcascades
- opencv中haar+Adaboost已经训练好的分类器。有双目、身体等等，出自专家之手，必属精品，CV 1.0版本的有需要就下吧。-haarcascades train by expects, body, eyes.. xml files of many kinds are included which can be used directly. OpenCV 1.0 ver can download from here.
adaboostHaarFeature
- adaboost haar feature computation and training
FaceRec
- 基于matlab2008的人脸识别系统，使用了PCA +Adaboost与PCA+SVM分别实现了人脸识别，使用了orl人脸库，给一个人的图片就可以识别此人身份，识别率高达84 -Matlab2008 face recognition system based on use of the PCA + Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database
AdaBoostm1
- 一篇比较好的adaboost论文，适合初学者 - a good paper about Adaboost, suitable for beginners
code
- 多种分类器的代码，代码非常好，希望大家能下载，因为这里面涵盖了haar，adaboost，treelearner，singlestumplearner，constantlearner很多学习方法-Multiple classification code, the code is very good, I hope you can download, as this which covers the haar, adaboost, treelearner, singlestumplearner,
Adaboost_guy
- Adaboost 算法的简单实现程序，适合初学者使用-Adaboost algorithm to achieve a simple procedure, suitable for beginners to use
adaboost_for_matlab
- AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learnin
Ada_Boost
- adaboost算法，用matlab编写的源程序，希望对大家有帮助-AdaBoost algorithm, prepared by matlab source, in the hope that we have to help
adaboostm1code
- 这是一篇关于adaboost.m1算法的人脸识别源码,识别率挺高的，读入任意人脸库即可运行，已经过测试-This is a source code of face recognition algorithm on adaboost.m1 .code has been tested ,you can read face database to run
FaceDetection
- 人脸检测。用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像（或影像）中是 否存在人脸，如果存在则对人脸进行定位。人脸检测的应用领域相当广泛，是实 现机器智能化的重要步骤之一。 AdaBoost 算法是1995 年提出的一种快速人脸检测算法，是人脸检测领域里 程碑式的进步，这种算法根据弱学习的反馈，适应性地调整假设的错误率，使在 效率不降低的情况下，检测正确率得到了很大的提高。-Face Detection. Using c++ to prepare. Fac
OpenCV-Adaboost
- opencv 人脸 训练的 一些算法说明 和准备工作-opencv face training preparation instructions and some algorithms
HarrDetect
- adaboost 人脸检测，实现批量检测功能，并统计分类器性能-adaboost face detection, to achieve mass detection and performance of statistical classification
AdaBoostHelp
- adaboost算法的原理详细介绍，可以帮助理解-algorithm theory adaboost details that can help to understand
Adaboost_improve
- adaboost训练过程很烦琐，收集了Adaboost的改进算法的论文汇总，对做Adaboost的同志很有帮助-adaboost training process is very cumbersome, a collection of papers Improved Algorithm for Adaboost summary, very helpful for the comrades to do Adaboost
onlineboost
- On-line AdaBoost分类器，AdaBoost分类器的改进，在线学习更新分类器，多用于目标跟踪-On-line AdaBoost classifier, AdaBoost classifiers to improve online learning update classifier, used for target tracking
GML_AdaBoost_Matlab_Toolbox_0.3
- adaboost是语音识别分类器设计的最好方法，目前在识别分类方面进行了应用-AdaBoost is a voice recognition classifier design the best way, the current classification in identifying aspects of the application
12
- 一个关于adaboost算法的matlab程序,对开始接触adaboost研究的人,有实用价值，并且蛮容易上手-AdaBoost algorithm on matlab procedures, AdaBoost study came into contact with people who have practical value, and quite easy to use
Adaboosthandwritingnumberrecognition
- base on Adaboost handwriting number recognition
Facerecognitionhandbook
- 介绍当前所有人脸技术的改进工作.包手肤色建模,Adaboost训练,Suan算法等改进算法.-Introduced all the current technology to improve the working face. Packet hand color model, Adaboost training, Suan algorithm to improve the algorithm.
face_recognition_adaBoost_M2
- 人脸检测程序，利用adaboost和M2算法检测人脸-Face detection procedures, the use of AdaBoost M2 algorithm and Face Detection