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Adaboost算法在人脸检测中的应用.使用VC编写的程序-Adaboost face detection algorithm in the application. Using programs written in VC
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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
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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
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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.
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下载别人的基于 AdaBoost 人脸检测源代码 供大家一起学习-Download others AdaBoost-based face detection source code for everyone to learn
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用adaboost 算法, 进行人脸检测.-With adaboost face detection algorithm
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在AdaBoost人脸检测的基础上,对眼睛实现精确定位。先得到人脸图像的谷区域图像,
再获取眼睛的候选点,综合分离度信息和霍夫变换的结果来计算每一个眼睛对的代价函数,找到比较
准确的眼睛位置。-In the AdaBoost face detection based on the accurate positioning of the eyes. Obtain prior approval from the image of the Valley area face images,
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adaboost 人脸检测算法，人脸检测系统的研究与实现，非常全面的文章-adaboost face detection algorithms, Face Detection System Research and Implementation of a very comprehensive article
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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
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此文件包含几篇关于adaboost人脸检测的论文-This file contains several articles on the paper face detection adaboost
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adaboost算法学习资料，深入讲解了adaboost算法的理论和应用，是人脸检测学习的重要参考文献，做模式分类的同学可以研究一下-adaboost algorithm to learn the information, further explained the theory and application adaboost algorithm, face detection is an important reference for studying literature, student
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人脸经典检测 ，详细介绍了adaboost算法-Classical Face detection algorithm described in detail adaboost
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这是一个基于adaboost算法的人脸检测程序，用VC++编写的程序，希望能帮到大家-This is based on face detection algorithm adaboost procedures, using a program written in VC++, hope to help you
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使用Adaboost算法实现人脸检测的论文集合，有四篇优秀硕士论文和一篇文献-Use of Adaboost face detection algorithm is a collection of papers, there are four excellent papers and a Master of Literature
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The project tends to detect and track human face in a video via some basic algorithms. It uses adaboost for detection and camshift for tracking. It works well in stable environment.
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基于Adaboost算法的多姿态人脸实时视频检测江苏大学-Adaboost algorithm based on multi-pose face detection real-time video
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Adaboost人脸检测方法及其并行实现-Adaboost face detection method and its parallel implementation
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Adaboost人脸检测方法及其并行实现-Adaboost face detection method and its parallel implementation
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基于adaboost和mean-shift视频中的人脸检测与跟踪识别-face detection and tracking recognition
of videoBased on adaboost and mean-shift
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针对LBP的人脸检测算法的文章3篇，区别于adaboost的人脸检测算法，opencv有相应的训练数据库。-For three of the articles of the LBP face detection algorithm, the face detection algorithm is different from adaboost, opencv training database.
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