Description: opencv是c语言编写的图像和视频处理的函数库，这个程序利用vc平台，调用opencv的人脸识别函数-openve is a library for image and video in c,this programe is developed on VC, call face recognition function of opencv. Platform: |
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Author:刘卓 |
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Description: 人脸侦测，人脸识别，人脸辨别，人脸辨识，实时影像-face detection, face recognition, face identification, face recognition, real-time video Platform: |
Size: 102400 |
Author:赖岱佑 |
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Description: 人脸侦测，人脸识别，人脸辨别，人脸辨识，实时影像-face detection, face recognition, face identification, face recognition, real-time video Platform: |
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Author:赖岱佑 |
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Description: The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. -The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. Platform: |
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Author:曲亚武 |
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Description: 人脸识别论文：《采用Adaboost算法进行面部表情识别》《动态权值预划分实值Adaboost人脸检测算法》《改进的AdaBoost分类器在视频中的体育场景检测》-Face recognition thesis: the use of Adaboost algorithm to identify facial expressions, dynamic weight pre-classified real Adaboost face detection algorithm, Improved AdaBoost classifier of sports in the video scene detection Platform: |
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Author:王云 |
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Description: 采用SSE优化，基于C++写的人脸识别程序,可应用于视频监控系统中。-Using SSE optimization, based on the C++ Write the face recognition process can be applied to video surveillance systems. Platform: |
Size: 520192 |
Author:piit |
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Description: 基于opencv的图像和视频处理的软件。该软件实行了opencv的多种功能：边缘检测、拉氏变换、椒盐噪音、人脸识别、霍夫变换等功能。-Opencv-based image and video processing software. The software has multiple functions opencv: edge detection, Laplace transform, salt and pepper noise, face recognition, Hough transform functions. Platform: |
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Author:陶应学 |
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Description: Face Recognition Library
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Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for imaging optimization. Library works great even for a low resolution web cam image and requires the user to align to a mirror frame on screen. Complete Source Code with Video capture and feature extraction kit for Registered Users.
Please register here for only $299 with Source Code :
http://www.research-lab.com/facerecognitionorder.htm
(c) www.research-lab.com-Face Recognition Library
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Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for imaging optimization. Library works great even for a low resolution web cam image and requires the user to align to a mirror frame on screen. Complete Source Code with Video capture and feature extraction kit for Registered Users.
Please register here for only $299 with Source Code :
http://www.research-lab.com/facerecognitionorder.htm
(c) www.research-lab.com Platform: |
Size: 892928 |
Author:ant |
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Description: 用C++语言实现的视频人脸识别技术，这个是我的毕业设计在这里和大家分享！代码我已经跑过！ok的！-Using C++ language of the video face recognition technology, this is my graduation project to share with you all here! I have ran the code! ok the! Platform: |
Size: 1096704 |
Author:andy |
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Description: 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks.
This paper presents the algorithms for all types of face images in the presence of several image conditions. There are two main stages. In
the first stage, the faces are detected from an original image by using Canny edge detection and our proposed average face templates.
Second, a proposed neural visual model (NVM) is used to recognize all possibilities of facial feature positions. Input parameters are
obtained from the positions of facial features and the face characteristics that are low sensitive to intensity change. Finally, to improve
the results, image dilation is applied for removing some irrelevant regions. Additionally, the algorithms can be extended to rotational
invariance problem by using Radon tran Platform: |
Size: 3771392 |
Author:刘宋 |
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Description: 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会
议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为
当前模式识别和人工智能领域的一个研究热点。
本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率- Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries , video meeting, and human-computer intelligent interactions.
The paper introduced the method of face recognition that based on the 24 bit multicolor image, Main content that the paper introduced is the picture treatment, It occupies the extremely important position in the whole software, the quality of picture process directly influenced the accuracy rate of localization and discerning. The picture process technology that the software mainly used included : light compensating、gauss smooth and twain value method. before discerning, we compensated the light for image, then we could obtain the possible face area through the complexion, finally, the system could depend on the symmetry of eyes to make sure whether it is the face of people, at the same time, the system could eliminate noises through the method that named gauss smoothness, then we use Platform: |
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Author:张雨 |
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Description: source code for light normalisation presented by Ralph Gross in this paper
@inproceedings{RGross_AVBPA_2003,
author = "Ralph Gross and Vladimir Brajovic",
title = "An Image Preprocessing Algorithm for Illumination Invariant Face Recognition",
booktitle = "4th International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA)",
month = "June",
year = "2003",
publisher = "Springer"
}
-source code for light normalisation presented by Ralph Gross in this paper
@inproceedings{RGross_AVBPA_2003,
author = "Ralph Gross and Vladimir Brajovic",
title = "An Image Preprocessing Algorithm for Illumination Invariant Face Recognition",
booktitle = "4th International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA)",
month = "June",
year = "2003",
publisher = "Springer"
}
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Size: 3072 |
Author:laouer |
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Description: Face recognition is a popular industry video surveillance technology, the use of biometric identification information and thus achieve the purpose of identity Platform: |
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Author:邱彦龙 |
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Description: 人脸识别技术可以应用于基于网络的身份认证，我们实现了基于WebCam的人脸识别与跟踪系统。本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。 -Face recognition can be applied to identity authentication on Internet, now we have realized face recognition and tracking system based on WebCam. This essay takes video flowing collected from WebCam as data source, and cuts off Single frame in video flowing. It has realized face detection through transforming colored space, complexion modeling, aftertreatment and face orient algorithms, and based on which the essay has realized face tracking in video flowing.The result of the test shows that the face detection algorithms we realized adapts to short distant face detection, and also can be used as identity authentication based on WebCam. Platform: |
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Author:swl |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
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Size: 2751488 |
Author:minu |
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Description: 在VS2010平台上结合opencv实现在动态视频中的人脸识别，通过调动PC自带的网络摄像头进行视频的读取，进行人脸部特征的定位。当然识别效果，还有待进一步优化-Bound to VS2010 platform opencv realize dynamic video face recognition, video read through the mobilization of PC comes with webcam, targeting human facial features. Of course recognition effect remains to be further optimized Platform: |
Size: 16509952 |
Author:浮萍 |
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