搜索资源列表
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基于OPENCV编写的 人脸识别程序，老外写的-Based on the OPENCV face recognition, written by a foreigner
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opencv人脸识别 opencv人脸识别-Face recognition opencv opencv opencv face recognition
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opencv 人脸识别 调用摄像头 脸部标定-opencv face recognition camera calibration call
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简单的opencv实现人脸识别效果，可一直Ubuntu使用-Simple opencv face recognition results, may have been using Ubuntu
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Face-recognition opencv
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opencv c++人脸识别并标记，windows7下开发，软件配置vs 2010 and opencv 2.4.10-Opencv face recognition and tag, c++ under Windows 7 development, software configuration vs 2010 and opencv 2.4.10
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OpenCV中人脸识别代码实现
声明：本文代码来源于http://www.cognotics.com/opencv/servo_2007_series/，实现平台为Linux+OpenCV，共分为两部分：人脸检测与人脸识别。-OpenCV face recognition in the code
Statement: this article code http://www.cognotics.com/opencv/servo_2007_series/, implementation
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opencv 写的人脸识别 在默认图片中识别出人脸-opencv writing recognition to identify the face in the default picture
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基于OpenCV的人脸识别Demo，摄像头输入，结果输出。需要手动配置训练样本集的图库地址(train.csv)-OpenCV based Face Recognition, web cam input. Need to manually configure train data set.
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基于opencv的使用python写成的人脸识别程序，里面包含各种haar分类器-Based on the use of Python opencv written in the face recognition program, which contains a variety of Haar classifier
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OpenCV实现人脸识别功能。采用基本的算法实现特征点提取和匹配。-OpenCV face recognition function. The basic algorithm uses the feature point extraction and matching.
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CvvImage.h头文件用于opencv图像编程人脸识别等-CvvImage.h header file for opencv face recognition and other image program
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使用Visual Studio 2013和opencv开源库实现人脸识别-Use Visual Studio 2013 and open source library opencv face recognition
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opencv程序，利用opencv自带的分类器，可识别人脸，并进行追踪，开发环境2.4.13-Opencv procedures, the use of opencv comes with the classifier, can identify the face, and tracking, development environment 2.4.13
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使用OPENCV库提供的接口，实现人脸的识别功能。
在一个人脸识别系统中，应用多种预处理技术对将要识别的图片进行标准化处理是极其重要的。多数人脸识别算法对光照条件十分敏感，所以假如在暗室训练，在明亮的房间就可能不会被识别出来等等。比如脸部也应当在图片的一个十分固定的位置（比如眼睛位置为相同的像素坐标），固定的大小，旋转角度，头发和装饰，表情（笑，怒等），光照方向（向左或向上等），这就是在进行人脸识别前，使用好的图片预处理过滤器十分重要的原因。你还应该做一些其它事情，比如去除脸部周围的多余像素（
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利用python中的opencv库，实现人脸识别的xml文件(The use of Python Library in opencv, XML file for face recognition.)
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实现人脸识别，标识。首先采集人脸信息，训练后保存，即可识别(Face recognition, identification. First of all, the acquisition of face information, after training to save, you can identify)
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本程序为人脸识别系统，首先建立人脸库模块，然后对人脸库进行信息编辑以及训练人脸识别分类器，最后为人脸识别模块。采用的visual studio + opencv实现，界面清晰美观，实验效果较好。(The program for the face recognition system, the first establishment of the face library module, and then face the library for information editing and t
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可以在 opencv安装目录opencv\sources\data中找到。方便大家下载，故上传在这里。人脸检测，人脸识别，人眼检测，鼻子检测，嘴检测等等训练好的xml文件(You can find it in the opencv installation directory opencv\sources\data. Convenient for everyone to download, so upload here. Face detection, face recognition, eye
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实时采集并显示双目视频，对双目图像进行人面识别。(Real time acquisition and display of binocular video, binocular images for human face recognition.)
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