Description: 采用Microsoft Media Encode SDK对文件进行DRM二次加密的一个实际用例，在这里重点演示了如何添加一个已经保存好的DRM配置，如果广播本地数据到一个Media Service服务器。本人主要从事流媒体播放的工作，有兴趣者可以和我联系。email:cxingpeng@gmail.com-Microsoft Media Encode SDK documentation for the second increase DRM close with an actual cases, the focus here in the demonstration of how to add a preserve good DRM configuration, If broadcasting local data to a server Media Service. I mainly engaged in streaming media broadcast the work of those who are interested can contact me. Email : cxingpeng@gmail.com Platform: |
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Author:cxingpeng |
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Description: 基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space of the basic image pixels are positive, and face image in the sub-space projection coefficient is positive Platform: |
Size: 1024 |
Author:李伟 |
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Description: 基于小波变换和神经网络的人脸识别：本论文围绕人脸识别问题对人脸特征提取及识别技术进行了研究。主要有：对人脸识别的研究工作进行了综述；在KL算法的基础上提出了新的基于KL的特征提取方法，克服了KL算法计算量大，计算时间长的缺点，-Based on Wavelet Transform and Neural Network Face Recognition: In this paper, issues surrounding the face recognition feature extraction and face recognition technology is studied. Mainly include: the research work on face recognition are reviewed in the KL algorithm is proposed based on the new KL-based feature extraction methods, the KL algorithm to overcome the large amount of computing time of shortcomings, Platform: |
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Author:hyh |
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Description: 基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space of the basic image pixels are positive, and face image in the sub-space projection coefficient is positive Platform: |
Size: 2048 |
Author:xuying |
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Description: Head Rotation Estimation Algorithm for Hand-Free Computer Interaction by Rafał Kozik-In the article robust method of hands-free interaction with computer is proposed and tested. There are showed the results of algorithms based on optical flow and rapid face detection. Platform: |
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Author:Ng Jack |
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Description: 特征提取是模式识别研究领域的一个热点.本文提出了一种基于独立成分分析和线性鉴别分析的特征提取方法.谊方法中引入了零空间的概念,指出了前人算法中的不足之,并且给出了一个完整的独立成分分析和线性鉴别分析的组合算法.在ORL和Yale人脸数据库上的实验表明了该方法的有效性.-Feature extraction is a hot field of pattern recognition research. In this paper, which is based on independent component analysis and linear discriminant analysis feature extraction method. Yi method introduced the concept of zero-space, pointing out that the algorithm predecessors shortcomings, and gives a complete independent component analysis and linear discriminant analysis of the combined algorithm. In the ORL and Yale face database, the experiment shows the effectiveness of this method. Platform: |
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Author:费富里 |
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Description: 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。但是将LDA直接用于人脸识别
会遇到维数问题和“小样本”问题。人们经过研究，通过多种途径解决了这两个问题并实现了基于I,DA的人脸识
别 文章对几种基于LDA的人脸识别方法做了理论上的比较和实验数据的支持，这些方法包括Eigenfaces、Fish—
erfaceS、DLDA、VDLDA及VDFLDA。实验结果表明VDFLDA是其中最好的一种方法。-Low—dimensional feature representation with enhanced discriminatory power is of paramount importance to face
recognition(FR)system．Linear Discriminant Analysis(LDA)is one of the most popular linear classification techniques of
feature extraction。but it will meet two problems as computational challenging and “small sample size’’when applying to
face recognition directly．After studying people solve the two problems through several ways and realize the face recogni—
tion based on LDA． The short paper here makes compare on theory and experimental data analysis on several Face
Recognition system using LDA—Based Algorithm，such as Eigenfaces(using PCA)，Fisherfaces，DLDA，VDLDA and VD—
FLDA．The experimental results show that the VDFLDA method is the best of al1． Platform: |
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Author:费富里 |
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Description: ：针对传统Gabor变换在提取表情特征时，冗余较大、特征维数较高的不足，结合ASM
自动特征定位技术，提出了一种基于特征点Gabor特征和ASM 形状特征相融合的面部表情
识别方法．实验表明，两种特征的融合，可有效地利用特征点的局部纹理信息和脸部器官的整
体形状信息，达到了更好的面部表情识另4效果．-: Gabor transform traditional expression feature extraction, the redundancy large feature dimension is high enough, combined with ASM automatic feature location technique, the algorithm based on feature characteristics of Gabor features and the ASM shape fusion of facial expression recognition Methods. Experimental results show that the integration of two features, feature points can effectively use the local texture information and the overall shape of the face organs of information, to achieve a better effect of facial expression understanding the other 4. Platform: |
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Author:MJ |
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Description: 研究描述人脸特征的有效方法, 讨论身份证照片的特征提取和检索采用自适应肤色检测技术改进通用的肤色检测算法, 进行脸部区域的划分提出系数投影法对面部五官区域进行分割, 在各区域中提取面部几何特征引人描述脸颊和下额轮廓的曲线参数作为脸形特征, 得到对人脸特征更准确的描述将面部几何特征矢量匹配、脸形曲线参数匹配和脸部图像相关匹配相结合, 实现人像照片的准确检索实验表明该方法性能优良。-Describe the facial features of an effective way to discuss the ID card photo feature extraction and retrieval using adaptive skin color detection techniques improve the general detection algorithm for facial areas by the proposed coefficient of projection of the facial features to segment the region, in the Extraction of geometric features of the region face cheeks and under the places described in the introduction of profile parameters of the curve as facial features, facial features and get the more accurate description of the feature vector matching facial geometry, face curve parameter matching and matching facial images related to the combination of to achieve an accurate portrait photo retrieval experiments show that the method excellent. Platform: |
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Author:郭事业 |
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Description: An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.-An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles. Platform: |
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Author:fais |
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Description: pca又称主成分分析，主要用来提取图像的主要成分，作为特征提取一个重要算法，将其用于人脸识别-pca, also known as principal component analysis, mainly used to extract the main component of the image, as a key feature extraction algorithm, be used in face recognition Platform: |
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Author:DD |
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Description: 基于独立成分分析的人脸识别方法研究
基于流形学习的数据降维方法研究
人脸识别系统的设计与开发
基于主成分分析的人脸识别
特征提取算法的研究与改进。。。。。。
做人脸识别式一系列的参考资料
-Face recognition based on independent component analysis method based on manifold learning method of data reduction system design and development of face recognition based on principal component analysis for face recognition feature extraction algorithm and its improvement. . . . . . To do a series of face recognition reference-type Platform: |
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Author:John |
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Description: 程序结构
整个工程可以分为3个部分：算法、功能和应用。
算法部分
算法部分目前分为4个模块：人脸对齐、光照归一化、特征提取和选择、子空间降维，每个模块是一个项目，每个项目生成一个dll供功能部分显式调用。
功能部分
功能部分只有一个项目FaceMngr，该部分依赖于算法部分，实现人脸注册、训练、识别、导入/导出等具体功能。该项目生成一个dll供应用部分隐式调用。
应用部分
人脸识别Demo.
另外，工程中还有一个项目tools，实现了一些整个工程都可能用到的函数，大部分与OpenCV有关。该项目生成一个dll供各部分隐式调用。-Program Structure
The whole project can be divided into three parts: the algorithm, function and application.
algorithm part
Algorithm is part of the currently divided into four modules: face alignment, illumination normalization, feature extraction and selection, reduced subspace
Dimension, each module is a project, each project generates a dll explicitly call for the functional part.
Features section
Functional part of only one project FaceMngr, part of the part depends on the algorithm to achieve face up, training,
Recognition, import/export and other specific functions. The project generates a dll for the supply of part of the implicit call.
Application Part
Face Recognition Demo.
In addition, there is a project engineering tools, to achieve a number of projects are likely to use the function, the majority
With OpenCV related. The project generates a dll called implicitly for each part. Platform: |
Size: 627712 |
Author:吴嘉晔 |
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Description: 图像识别系统的结构与工作原理，在对图像预处理、特征提取、分类、图像匹配算法进行深入研究和分
析的基础上，分析和比较了各种算法的优缺点-Image Recognition System structure and working principle, in the image preprocessing, feature extraction, classification, image matching algorithm in-depth research and analysis, based on the analysis and comparison of the advantages and disadvantages of various algorithms Platform: |
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Author:kohsa |
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Description: 本文介绍了 DSP6711的硬件特性 分析了人脸检测、 识别的原理及算法的选型 运用基于 DCT变换域的 LDA的特征提取方法 ,实现了人脸的自动识别。在 Yale人脸库上的实验结果表明本算法识别率要比直接用 PCA进行特征提取的方
法要好-This article describes the DSP6711 hardware features analysis of face detection, recognition of the principle and algorithm selection the use of the LDA transform domain DCT-based feature extraction method, to achieve automatic recognition of human faces. In the Yale face database of experimental results show that the algorithm is the recognition rate than the direct use of PCA for feature extraction method is better Platform: |
Size: 339968 |
Author:louc |
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Description: 基于人脸识别的LBP特征提取的检测算法，更加的精准，用于做人脸识别识别特征提取的首选-Detection algorithm based on the recognition of LBP feature extraction more accurate for Face recognition, feature extraction preferred
... Platform: |
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Author: 奋斗 |
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Description: LBP是一种人脸图像提取局部特征的算法，具有尺度不变形，旋转不变形-LBP is a kind of face image partial feature extraction algorithm, has the scale deformation, rotary deformation Platform: |
Size: 23552 |
Author:jingpuepao |
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Search - Extraction Algorithm of Face Feature