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3下载:
此matlab程序,用来检测并定位人脸及人眼。采用的算法是肤色的颜色分隔。附件中的文件包括 eyematch.m, eyematch2.m, face.m, findeye.m,skin.m, k001.JPG等等,This matlab procedures used to detect and locate human faces and the human eye. Algorithm used in the color of skin are separated. Attachment
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MATLAB环境下编的人脸检测和识别算法,人脸识别部分采用的pca算法,另外包括一个人机界面,直接运行facedec程序即可运行-MATLAB environment, compiled by face detection and recognition algorithms, face recognition pca algorithm is used in some of the other, including a man-machine interface, programs can b
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介绍了一些人脸检测的最新动态以及一些好的算法研究。-Describes some of the latest developments in face detection algorithm as well as some good.
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人脸检测图像算法,定位人眼,防止疲劳驾驶-Human face detection algorithm image, positioning the human eye, to prevent fatigue driving
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face detection algorithm
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论文算法的实现"A simple and accurate face detection algorithm in complex background"-Implementation of the paper:
"A simple and accurate face detection algorithm in complex background"
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这是一个经过调试过的人眼定位和人脸检测算法的代码。-This is a debug-off position of human eyes and human face detection algorithm code.
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用adaboost 算法, 进行人脸检测.-With adaboost face detection algorithm
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本程序是想人们说明了一种基于Gabor小波与神经网络的人脸检测的算法-This procedure is explained to people based on Gabor wavelet and neural network face detection algorithm
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从原始彩色图像中提取多阈值器官梯度图、双阈值肤色图、梯度方向图和灰度特征图等四种特征图像,并运用多姿态
知识模型和多姿态模板,实现了一种快速人脸检测算法
-Extracted from the original color image gradient map organ multi-threshold, dual-threshold color map and gray gradient patterns and other characteristics of the four
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基于C++的人脸识别程序,经过测试,能较有效的识别出人脸来。-Face Detection algorithm bases on Visual C++.
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A Robust Skin Color Based Face Detection Algorithm
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此文的目的有三个:第一,当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次,注册稀疏Winnows网络分割,提出了加快原分类。最后,特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器,接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabce
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Skin color based face detection algorithm
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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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提出一种基于改进的肤色分割和距离变换的快速人脸检测算法。该算法对传统肤色分割进行了改进,
使得肤色分割更加可靠,而且能够对图像中的多个人脸进行快速定位。-Proposed a color segmentation based on improved distance transform and Fast face detection algorithm. The traditional color segmentation algorithm has been improved, makin
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gpu based face detection algorithm using opencv
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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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人脸检测算法,可以在背景图中将人脸圈出,以便于后续的工作展开(The face detection algorithm can circle the face in the background map so as to facilitate the follow-up work.)
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