Description: PCA主元分析法进行特征提取，再进行人脸识别-PCA principal component analysis method for feature extraction, and then carried out face recognition Platform: |
Size: 2048 |
Author:chenxi |
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Description: matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础-matlab realize PCA for face recognition source code, the basic function of the realization, as a basis for Platform: |
Size: 158720 |
Author:sutao |
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Description: 基于visual c++的人脸识别源码，本套源码可以组成一个完整的人脸识别系统。-Based on visual c++ Face recognition source code, the sets of source code can be composed of a complete face recognition system. Platform: |
Size: 958464 |
Author:xiaqinghe |
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Description: matlab的一个人脸识别系统
包括gabor，pca，ica的源码-matlab a face recognition system includes gabor, pca, ica source Platform: |
Size: 47104 |
Author:wang0744 |
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Description: 一种很好的基于SIFT算子的人脸识别方法的介绍，文章有很不错。-A good SIFT-based operator of the introduction of face recognition method, there is a very good article. Platform: |
Size: 286720 |
Author:朱静 |
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Description: 用VC++实现SIFT算法的人脸识别的源代码-SIFT using VC++ to achieve the source code for face recognition algorithms Platform: |
Size: 1343488 |
Author:liuhua |
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Description: 一个基于matlab语言的编程，可以实现对人脸的识别算法-A matlab-based programming language can be achieved on the human face recognition algorithm Platform: |
Size: 690176 |
Author:清风怡人 |
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Description: Scale Invariant Feature Transform (SIFT) has shown to be very powerful for general object detection/recognition. And recently, it has been applied in face recognition. This is the matlab code. Platform: |
Size: 2880512 |
Author:Wei Dan |
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Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition Platform: |
Size: 6918144 |
Author:张数 |
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Description: 基于haar特征的adaboost级联分类器的人脸识别应用，可直接运行-Adaboost cascade haar feature based classifier for face recognition applications can be run directly Platform: |
Size: 4583424 |
Author:苏军 |
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Description: 高独特性特征的选择以及合适匹配策略的选用是人脸识别技术的关键。讨论了基于仿射不变的几何特
征SIFT算子进行人脸识别的方法。SIFT算子的计算复杂度较高，并且不同的人脸表情和图像模糊会加大特征匹
配的难度。为克服上述缺点，提出了一种新的算法，将选择6个人脸上感兴趣子区域进行描述，并根据各自的独特
性赋予不同的权值，最后在匹配过程中使用相似度的平方来减小偏差数据造成的影响。实验结果表明，该方法能
有效减轻表情变化对于身份识别率急剧下降的影响，并可显著减少计算复杂度和特征匹配时间。-Choosing a distinctive feature and matching criterion is key to developing a reliable face recognition system．
This paper discusses the availability of one of geometric feature invariants，scale invariant feature transform (SIFT)
descriptor based face recognition． The SIFT feature description of an image is typically complex． In most cases， the
difficulty of feature matching problem is aggravated when the diferent face expressions and image blur exist． For
abovementioned issues，in this paper we proposes a new method that six interest sub—regions from the face are selected to be
described and later be calculated through diferent weights according to their distinctiveness．The square of the similarity is
used to solve the problem of data deviation．The experimental results demonstrate that our method does effectively moderate
the face expression efect． It also successfully reduces the complexity and matching time of SIFT feature sets． Platform: |
Size: 286720 |
Author:陈方芳 |
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Description: This paper investigates a face recognition system based on SIFT feature and its distribution on feature space. Platform: |
Size: 793600 |
Author:tongliu |
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Description: This paper investigates a new face recognition system based on an efficient design of MLP classifier using each SIFT (Scale Invariant Feature Transform) keypoint as feature. Platform: |
Size: 96256 |
Author:tongliu |
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Description: This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale
Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong
robustness to the expression, accessory, pose and illumination
variations. One MLP (Multi Layer Perceptron) based network is
adopted as classifier of SIFT keypoint feature. The proposed
classifier classifies each keypoint into face ID then an ID index histogram counting method is applied as the identification method to recognize face images. Also a bootstrapping method is investigated to select training images during training MLP. The performance of face recognition in some challenging databases is improved efficiently. Platform: |
Size: 122880 |
Author:tongliu |
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Description: My presentation consists of four main parts.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the proposed face recognition will be explained by comparing matching method.
The proposed system includes design of classifier, training process, selection of training images and identification process.
Moreover I will evaluate and discuss the experimental result on some challenging databases.
Finally I am going to conclude my presentation.
-My presentation consists of four main parts.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the proposed face recognition will be explained by comparing matching method.
The proposed system includes design of classifier, training process, selection of training images and identification process.
Moreover I will evaluate and discuss the experimental result on some challenging databases.
Finally I am going to conclude my presentation.
Platform: |
Size: 835584 |
Author:tongliu |
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Description: 基于SIFT特征提取_数字条纹投影的自适应3D人脸识别-Self-Adaptive 3D Face
Recognition Using SIFT
Extraction Based on
Digital Fringe Projection Platform: |
Size: 2857984 |
Author:michael |
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Description: 此代码为SIFT算法的C代码，用于提取图像的特征信息，可用于人脸识别等各种领域-This code is SIFT algorithm C code for extracting image feature information can be used in various fields such as face recognition Platform: |
Size: 1020928 |
Author:陈大禄 |
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Description: 面像识别训练时用到的归一化特征，进行人脸特征提取的代码(The normalization features used in facial recognition training, and the code for facial feature extraction) Platform: |
Size: 5120 |
Author:HLT
|
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Search - SIFT face recognition