搜索资源列表
Haar-Liketezheng
- 用adaboost算法检测人脸时，主要是用Haar特征，这个是用c++编写的代码，欢迎大家下载并参考-with adaboost Face Detection Algorithm, it is mainly used Haar features, This is used to prepare the c code and you are welcome to download and reference!
Haar-Liketezheng
- 自已写的Adaboost使用Haalike feature，去Detection
Adaboost_LPR_Matlab_081010.rar
- 对第二次上传的源码修改后的10月10日的Matalb的基于Adaboost算法的车牌定位的源码！不过训练时间还是很长！里面含有积分图像的获得，haar 特征的生成等。Matlab高手可以优化一下，感兴趣的欢迎下载！,From the second source of the revised October 10 of Matalb-based license plate location algorithm Adaboost source! But training is still a ver
人脸检测算法对AdaBoost算法进行了改进
- 2008_bmvc_FaceDetector, 实进人脸检测算法，对AdaBoost算法进行了改进，相比之下，比OPENCV中自带的基于HAAR特征的人脸检测算法更稳定。-2008_bmvc_FaceDetector, really into the face detection algorithm, the AdaBoost algorithm has been improved, compared to the native than OPENCV HAAR feature based fa
cvHaarTraining.rar
- Opencv Haar training, the setting and parameter is configed. you can debug into the training process to get the whole flowchart of adaboost training.,Opencv Haar training, the setting and parameter is configed. you can debug into the training process
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
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_LPR_Matlab_080910
- 对第一个源码修改后的9月10日的Matalb的基于Adaboost算法的车牌定位的源码！ 里面含有积分图像的获得，haar 特征的生成等。感兴趣的欢迎下载！-Source of the first amended September 10 of Matalb-based license plate location algorithm Adaboost source! Which contains points of access to images, haar generation cha
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
simpleABdemo
- Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weaker ifier)通过一定的方法叠加(boost)起来，构成一个分类能力很强的强分类器 眼eClassifier)，再将若干个强分类器串联成为分级分类器(ClassifierCaseade) 图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器 成为强分类器，再将强分类器串联成为分级分类器。 -Adaboost algorithm basic idea is: the abi
FaceDetectorOtherversion
- 人脸检测的一个程序,adaboost+cascade+haar 能运行-Face detection of a program, adaboost+ Cascade+ Haar to run
haar
- HARR小波的VC实现源代码,能用于人脸检测与识别-HARR wavelet implementation of the VC source code, can be used for Human Face Detection and Recognition
FaceRecognition
- haar特征boost人脸识别，包括视频和图像以及完整界面-haar features of face recognition boost, including video and images as well as the integrity of the interface
fdp-v51
- Face detection project based on Adaboost algorithum.
test2
- 基于haarlike特征，采用adaboost分类器的人脸检测系统-face detec
facedetection
- 本程序实现了haar+adaboost人脸检测功能-Realized by the haar+ adaboost face detection function
Haar
- haar+adaboost人脸训练和检测源码,优化程序,速度极快-haar+adaboost face training and testing source code optimizer, fast
Adaboost-FaceDetection-master
- 用于人脸检测的haar+adaboost matlab的代码-For face detection haar+adaboost matlab code
face_recognition_adaBoost_M2
- 基于adaboost算法的人脸检测(For face detection haar+adaboost matlab code)(Face detection based on AdaBoost algorithm,haar+adaboost matlab (For face detection haar+adaboost matlab code))