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Face detection system c++ code
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vc2005做的人脸检测系统，实现有效的脸部识别,vc2005 do face detection system, to achieve effective facial recognition
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基于Gabor特征提取和人工智能的人脸检测系统源代码-Gabor-based feature extraction and artificial intelligence source code of face detection system
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人脸检测系统很好用的东西哦,希望大家喜欢-Face Detection System with good things Oh, I hope you like
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人脸检测系统,眼部定位,嘴部定位,与大家分享-Human Face Detection system, eye position, mouth position, with the U.S. share
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Opencv检测人脸,可以批量对某一个文件夹中(路径名不要有中文)所有文件操作,并将检测后的人脸抠出来保存到项目本地文件夹下.使用vc2005完成.-Face Detection with Opencv, you can bulk on a folder and detect the face of all files in this folder(the path should not have Chinese character) And after the Detection the s
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face detection demo Please read your package and describe it at least 40 bytes.
System will automatically delete the directory of debug and release, so please do not put files on these two directory.-face detection demo Please read your package an
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《精通VisualC++数字图像处理技术与工程案例》第三章，人脸检测系统-" Proficient VisualC++ digital image processing technology and engineering case" Chapter III, face detection system
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人脸检测系统 有人脸检测的一系列详细步骤 分割 定位 提取眼睛-Face detection system was a series of detailed steps in face detection segmentation positioning the eye, and so extract
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这是一个使用了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
createffnn.m, d
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通过对图片进行一系列的处理，提取人脸的大致框架，然后通过眼睛、嘴巴的建模，最后得到图片中人脸比较精确的位置。-Through a series of image processing to extract the general framework of the face, and then through the eyes, mouth, modeling, and finally get the picture more precise location of the human face.
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本文对人脸识别技术中的检测和识别分成两部分进行了讨论。首先, 系统的整理分析了人脸检测的各种方法。其次, 作为
人脸识别技术的第二个环节, 对人脸的各种识别方法进行了比较性的论述, 重点讨论了当前热点的识别算法。最后对人脸
识别技术的发展方向进行了展望。-This face recognition technology for the detection and identification are discussed in two parts. First, the system an
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基于图像处理的人脸检测系统，通过openCV软件来实现的-Image processing based face detection system, implemented by software openCV
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这是一篇关于在静态灰度图像中的人脸检测的英文文献，可作为设计人脸检测系统的参考。-This is an English literature on face detection in static gray image can be used as a reference design of face detection system.
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实现了人脸定位，还包括眼睛、嘴巴定位,是一个完整的人脸识别系统-a system of face detection
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人脸检测系统，c++代码，可以运行，检测率96 -96 of the face detection system, c++ code can run, detection rate
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人脸检测系统的实现全部基于Windows和MFC编程技术，使用了色彩空间转换、图像建模很多图像处理方法。-All face detection system based on Windows and MFC programming technology, using the color space conversion there are many methods of image processing, image modeling.
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基于Gabor特征提取和人工智能的人脸检测系统源代码 方便初学者学习使用 包含gabor 提取 和 最后的人脸匹配 核心算法-Gabor feature extraction and artificial intelligence-based face detection system source code easy for beginners to learn to use
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本程序主要处理BMP位图，依次进行“人脸检测与定位”操作和“人脸特征标注”操作，最后进行识别以区分先后两个人脸。-This procedure is mainly handle BMP bitmap, in order to face detection and localization operation and facial feature annotation operation, finally carries on the recognition to distinguish
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该文件是基于c++语言，主要可以用于人脸检测系统。-The document is based on c++ language, mainly be used for face detection system.
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