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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!
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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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Face detection for adaboost detection-Face
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ADABOOST用于人脸检测的训练和分类程序改进，速度更快。-FOR FACE DETECTION FEATURE EXTRACTION AND CLASSIFICATION WITH QUICKER SPEED
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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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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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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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提出了一种针对复杂环境下的过人脸检测方法，首先在CbCgCr空间利用直接最小二乘法构建了对光照和复杂背景鲁棒性更好肤色聚类模型，实现了准确的肤色检测；然后针对人脸中姿态和表情变化，提出了基于Adaboost的多姿态人脸检测，精确的实现了人脸检测定位。-Extraordinary face detection method for complex environments, the first space CbCgCr direct least squares meth
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基于adaboost的人脸检测算法，对于初学者来说用很大的帮助-Adaboost-based face detection algorithm for beginners great help
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使用adaboost进行人脸检测，主要进行的是图片的检测。在光线不足和有遮挡的情况下，识别的效果依然很好。-Using adaboost for face detection, mainly for the picture is detected. And sheltered in low light circumstances, identify the effect is still very good.
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利用opencv的adaboost算法进行人脸检测android源码-Using AdaBoost opencv algorithm for human face detection Android source code
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用于人脸检测的haar+adaboost matlab的代码-For face detection haar+adaboost matlab code
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运用adaboost方法进行人脸检测的matlab算法，实用易懂，适合初学者！(Using adaboost method for face detection matlab algorithm, practical and easy to understand, suitable for beginners!)
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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))
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