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直接使用摄像头检测人脸的程序,正确率还不是很准确-Directly face the camera detection procedure, the correct rate is not very accurate
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this file is a sample of face detection in matlab
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人脸区域检测,对图像中的人脸区域进行检测并用矩形框标记。-Face region detection, face image in the region to detect and mark with a rectangular box.
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FACE DETECTION IN MATLAB
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This matlab code can be used for any form of image processing work. it is a working face recognition and detection source code for educational use only
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MATLAB中调用OpenCV实现人脸检测的程序-Calling MATLAB OpenCV face detection process to achieve
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Yale,PCA,SVM,matlab,人脸检测,特征提取,人脸识别.-Yale, PCA, SVM, matlab, face detection, feature extraction, face recognition.
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face detection + SVM in matlab
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该代码在matlab环境下实现人脸检测。核心代码采用c语言编写,可直接用于matlab环境下。目前,该代码可有效检测视频或图像中的单个人脸,可以作为研究者入门和学习编写代码之用。-This code written in Matlab is used to realize face detection. The key code is written in C and can be applied in Matlab environment directly. Recently, it can
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人眼定位和人脸检测算法,适合研究人脸识别技术的人,matlab实现-eye localization and face detection for begginners
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自己编写的人脸位置检测的matlab程序。并实现matlab与C++的转换-face detection in matlab environment 。
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人脸检测,采用MATLAB编程,效果不错。-Face detection, using the MATLAB programming, the effect is good.
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该文件夹中有六个M文件,说明如下:
boundary_extraction.m : 目标区域边界抽取主函数,其中调用ostu、four_neighbor、eight_neighbor、globe_graph
otsu.m : 类判别分类法(otsu全局二值化算法)
four_neighbor.m : 四邻域法边界抽取
eight_neighbor.m : 八邻域法边界抽取
globe_graph.m : 全局检测法边界抽取
area_peri.m : 目标区域
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Face Detection System
基于Gabor特征提取和人工智能的人脸检测系统源代码
使用步骤:
1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱)
2. 找到"main.m"文件
3. 命令行中运行它
4. 点击"Train Network",等待程序训练好样本
5. 点击"Test on Photos",选择一个.jpg图片,识别。
6. 等待程序检测出人脸区域
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matlab人脸识别,智能识别人脸,应用于检测识别人脸-matlab face recognition, smart face recognition, face detection and recognition applied
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这个压缩包里囊括了人脸识别的matlab程序,非常实用。-The compressed packages include face recognition in matlab, very practical.
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人脸检测,人脸识别的matlab代码。主要是人脸定位。-Face detection, face recognition matlab code. Mainly face positioning.
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Face Detection with skin color sorce code using Matlab.
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Smple Face Detection application matlab source code. İ nclude sapmle face database.
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基于PCA的人脸识别matlab程序,识别率达到88 ,代码易于理解。-A matlab programe of face detection bases on PCA.The rate of it is 88 and the code is easy to understand.
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