搜索资源列表
Adaboost
- 总结和整理了一些adaboost文献资料 对做人脸检测和识别有一定的帮助-Adaboost summarized and compiled some literature on the human face detection and identification of some help
Adaboost
- 利用adaboost算法进行人脸识别,检测一副静态或动态图像中的人头数目-Adaboost algorithm using face recognition, image detection of a static or dynamic number of head
adaboost
- 基于ADABOOST的人脸检测代码,使用继承的策略,包括特征的计算,提取,ADABOOST训练,级联,最后训练出数据,还有注释,可以帮助大家研究ADBOOST-Based on ADABOOST face detection code, the use of inheritance strategies, including the calculation of features, extraction, ADABOOST training cascade, the last train out
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
objectmarker
- 在人脸检测中用于标记人脸位置的objectmarker.exe,本人花了很大力气才收集到的-Face Detection in for marking the location of human faces objectmarker.exe, I spent a lot only collected
adboost_cascade
- 基于adaboost的人脸检测算法,包括训练,修改了数据读取结构,降低了内存需求-Based on adaboost face detection algorithms, including training, to modify the data read structure, reducing the memory requirements
Face-Detection
- 基于Adaboost级联分类的人脸和人眼检测,其中的三个xml是Adaboost分类器参数-Adaboost cascade based on the human face and eye detection, three of which are Adaboost classifier parameters xml
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
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
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
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
PCA
- Adaboost实现人脸检测,这个很好用,速度快,准确-Adaboost face detection to achieve this good use, fast, accurate
c02
- [demo.rar] - 增值税发票抵扣联字符识别中的图像倾斜校正方法,很有用 [2007012218032016052.rar] - 目前紧紧支持24种验证码的识别,后续版本将会慢慢加入更多可识别的格式。 [OCR.rar] - OCR光学字符识别代码,思想是背景16值变化,提供勾,圈,叉识别 [javawllt.rar] - 用JAVA编译的局域网聊天程序 v 1.0 ,此聊天程序为学习java语言而开发的 [MySoft.rar] - 一种利用硬盘序列号对
human_face_detect_facemodel
- 人脸检测系统源码,准确定位,检测人脸,具有很强的抗噪能力,背景去除,最最关键的一步是肤色匹配,提供了人脸模型,算法自己看,绝对好东西-Human face detection system source code, accuratly position and detect face, which has a strong anti-noise ability. It is widely used in machine vision, pattern recognition, security
Adaboost_FD
- 在人脸检测中,使用Adaboost算法在一幅图像中检测出人脸具有比以往算法都要高的效率,这几篇论文是有关Adaboost方面的-Human Face Detection in the use of Adaboost algorithm in an image detected with people face higher than the efficiency of algorithms, this thesis is related to several aspects of Adaboos
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
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.
facedetect_harrcascade
- 基于adaboost的构造的cascade用于快速检测人脸,能够实时检测视频中的人脸。没有采用opencv的代码。-Adaboost based on the structure of the cascade for the rapid detection of human faces, real-time video can face. Did not use the code opencv.