搜索资源列表
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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
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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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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
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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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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
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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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采用adaboost算法用于人脸检测,实现较快的人脸识别。使用MATLAB语言编写。-Using adaboost face detection algorithm is used to achieve a faster face recognition. Using the MATLAB language.
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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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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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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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基于adaboost的人脸检测识别算法,在复杂背景下有很好的检测效果-Good detection in complex background based on face detection and recognition algorithms in adaboost
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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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Adaboost算法实现人脸检测,能够运行-Adaboost face detection
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Adaboost face detection
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matlab中的adaboost人脸检测算法(AdaBoost face detection)
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