Description: 这是一个人脸识别系统，其中详细的给出了人脸识别软件的开发过程，应用MATLAB编程实现，是一个不可多得的好软件。-This is a face recognition system, which gives a detailed Face Recognition software development process. MATLAB programming is a very good software. Platform: |
Size: 1532267 |
Author:lijianjun |
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Description: 这是一个人脸识别系统，其中详细的给出了人脸识别软件的开发过程，应用MATLAB编程实现，是一个不可多得的好软件。-This is a face recognition system, which gives a detailed Face Recognition software development process. MATLAB programming is a very good software. Platform: |
Size: 1531904 |
Author:lijianjun |
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Description: 是一个应用matlab编写的基于pca读取人脸的人脸识别和人脸检测软件，是一个非常不错的人脸检测识别软件。希望对大家有用-Matlab is an application prepared by the pca read on the face and face recognition face detection software, is a very good face detection recognition software. We hope to useful Platform: |
Size: 6144 |
Author:wutonghai |
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Description: 这是一个基于VC 开发的人脸识别软件，具有速度快，识别率高的特点。-This is a VC based on the development of face recognition software, speed, high recognition rate. Platform: |
Size: 3295232 |
Author:zbf |
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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: |
Size: 2910208 |
Author:陶应学 |
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Description: 我的多媒体课程上做的人脸检测和表情识别程序，有多种方法实现，功能强大，欢迎下载-software product for my multi media class. Implemented with several methods, highly recommended Platform: |
Size: 8509440 |
Author:lipei |
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Description: Face recognition software, with C++ source code and a Prototype-Face recognition software, with C++ source code and a Prototype... Platform: |
Size: 705536 |
Author:SINI |
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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: |
Size: 2286592 |
Author:张雨 |
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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.
Platform: |
Size: 2751488 |
Author:minu |
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Description: 这是一个应用VC++编写的基于摄像头读取人脸的人脸识别和人脸检测软件。结合matlab函数，是一个不错的软件-This is an application written in VC++ to read on camera facial recognition and face detection software. Combination matlab function, is a good software Platform: |
Size: 3553280 |
Author:蓝盾 |
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Description: DELL人脸识别软件，希望能有所帮助，有需要者-DELL face recognition software, hoping to be helpful for those who need Platform: |
Size: 9998336 |
Author:堂号 |
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Description: 可信人脸模式识别技术包括了传统人脸模式识别技术，由摄像头和计算机模式识别软件组成。由于与传统人脸模式识别技术的不同，可信人脸模式识别技术有两个模板。用于人脸识别匹配的传统人脸识别模板，用于识别行为密码匹配的人脸识别行为密码模板。-Reliable face recognition technology, including the traditional model of face recognition technology, the camera and computer pattern recognition software. As with traditional face different pattern recognition, pattern recognition credible face for two templates. Traditional face recognition for face recognition template matching, match the password used to identify the behavior of face recognition behavior password template. Platform: |
Size: 22780928 |
Author:yangmuwen |
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Description: android 人脸识别软件，需要的同学们可以下载-android Face Recognition Software, students need to see can be downloaded Platform: |
Size: 1491968 |
Author:jqyp324 |
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Description: 详细介绍了如何在FPGA上建立人脸识别系统，从硬件软件两方面做了说明，非常值得仔细阅读学习-Details how to build face recognition system on an FPGA, made from both hardware and software are described, well worth learning to read Platform: |
Size: 964608 |
Author:张文浩 |
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Description: 支持向量机及其在人脸识别中的应用研究
上海交通大学博士论文，在知网上面付费下载得到的。本文从应用的角度出发，较为全面地对一些相关问题进行探讨，并使用Visual C++实现了一个基于支持向量机的人脸识别软件—idTeller。 论文的主要工作和创新点包括： ·提出了两种基于VC边界的支持向量机参数选择算法—固定C算法和VC-CV算法。VC边界是两类支持向量机参数选择的一个理想准则，但它的一些固有缺点使其应用变得困难。本文通过将VC边界转化为VC指标，最终把问题归结为对最小包围体的求解，从理论上和计算上为VC边界的使用铺平了道路。在此基础之上，本文提出了两种基于VC边界的参数选择算法—固定C算法和VC-CV算法。在数个基准数据集上的实验表明，相比交叉验证算法，VC-CV算法不仅能获得性能更好的分类器，而且具有较低的计算复杂度。 ·使用序贯最小优化算法解决了最小包围体求解问题。最小包围体求解是计算VC指标的一个关键步骤，本文使用序贯最小优化算法对其求解，并对算法初始化、参数选择及更新等若干实现问题进行了深入地研究。在多个基准数据集上的实验表明，序贯最小优化算法能够快速而准确地解决最小包围体求解问题。-
Support vector machine and its application to face recognition
Shanghai Jiaotong University doctoral thesis, in HowNet above pay to get the download. From the application point of view, to more fully explore some related issues, and using Visual C-idTeller a support vector machine-based face recognition software. The main work and innovation of the paper include: two kinds of parameters of support vector machine based on the VC boundary selection algorithm- fixed-C algorithm and the VC-CV algorithm. VC boundaries are two types of support vector machine parameters to select the ideal criteria, but some of its inherent shortcomings make it difficult. This article by VC boundary for the VC index, and ultimately the problem is reduced to the solution of the minimum bounding volume, and paved the way for the use of the VC boundary from the theory and calculations. On this basis, we propose two parameter selection algorithm based on the VC boundary- fixed-C algorithm and the VC-CV algorit Platform: |
Size: 10384384 |
Author:Jessicaying |
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Description: 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。-In this paper, a method based on 24-bit color images of the human face recognition, introduced the main contents of the image processing, it occupies a very important position in the entire software, image processing, direct impact on the positioning and recognition accuracy. This software is mainly used in image processing technology: light compensation, Gaussian smoothing and binarization. , Prior to the recognition, the first on the image processing of the fill light, then the face area obtained through color possible to determine whether that is the face, and finally, under the inherent symmetry of the eyes of the face, while using Gaussian smoothing to eliminate the noise of the image, and then binarization, binarization using local thresholding method, the next positioning operation of the extracted feature values and identification. Tested, image pre-processing module to image processing to achieve better results, locate and identify the correct rate. Platform: |
Size: 1428480 |
Author:nick |
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Description: Face Recognition System
Face Detection in Matlab
Face Recognition Software
PCA-based Face Recognition System
Face & eye detection
Face Recognition
Face Parts Detection
Face recognition using PCA
Face Detection & Recognition System
Face Detection System
Platform: |
Size: 5486592 |
Author:amin |
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