Description: eigenfaces,基于特征脸的人脸识别的一个例子.入门级别-eigenfaces, feature-based Face to Face Recognition is a case in point. Portal-level Platform: |
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Author:djfh hdh |
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Description: 人脸识别中使用的特征定位源码。 是MATLAB编写的基于多方案统计学的完整的动态形状定位源代码。-Face Recognition feature of the use of source positioning. Is a MATLAB program based on multi-prepared statistics, integrated and dynamic shape of positioning the source code. Platform: |
Size: 23552 |
Author:陈非 |
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Description: 基于改进的独立分量分析的人脸识别方法，,本文将遗传算法(GeneticAlgorithm,GA)应用到独立分量的选择与优化中,从而在
保证较高识别性能的前提下,获得最优的人脸特征子集-Based on an improved independent component analysis for face recognition method, this article will genetic algorithm (GeneticAlgorithm, GA) is applied to independent component selection and optimization, resulting in a higher recognition performance guarantee under the premise was the best facial feature subset Platform: |
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Author:李宛霖 |
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Description: 最经典的人脸识别中的fisherface代码，在此之前要对特征空间降维，通常采用PCA降维，此代码基于降维实现类间与类内比值的最大化。-The most classic Face Recognition fisherface code, in this feature space prior to dimensionality reduction, PCA dimensionality reduction is usually used, this code-based dimensionality reduction to achieve between-class and category to maximize the ratio. Platform: |
Size: 1024 |
Author:heying |
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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: opencv摄像头实时人脸识别，支持各种摄像头-Real-time face recognition opencv camera, supports a variety of camera Platform: |
Size: 1180672 |
Author:cranechen |
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Description: 这是一个用vc++实现的基于肤色的人脸识别系统，包括人脸的检测、定位，特征提取、识别。-This is a used vc++ Achieve color-based face recognition systems, including face detection, location, feature extraction, identification. Platform: |
Size: 3042304 |
Author:谭少侠 |
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Description: 改进的核函数算法及其在人脸识别中的应用研究，很好的东东！-Kernel function to improve the algorithm and its application in face recognition research Platform: |
Size: 3072 |
Author:joyboble |
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Description: 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura Platform: |
Size: 422912 |
Author:刘文珍 |
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Description: 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition Platform: |
Size: 2048 |
Author:gu |
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Description: 基于高波滤波的特征提取技术，从而实现人脸识别和表情识别的目的-Based on high-wave filter feature extraction techniques, in order to achieve the purpose of face recognition and expression recognition Platform: |
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Author:hefangfang |
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Description: 主成成份分析( PCA) 方法是人脸识别技术中常用的一种一维特征抽取方法。传统PCA 方法用于人脸识别常常面临图像维数高,直接计算量的问题。为了解决这2 个问题,人们对PCA 进行了改进,提出并实现了多种基于PCA 的人脸识别。对3 种基于PCA 的人脸识别方法做了理论上的研究和实验上的性能比较。实验结果表明PCA + 2DPCA 是其中综合效果最好的一种方法。-Principal component analysis into (PCA) is a commonly used face recognition feature extraction method of one-dimensional. The traditional PCA method for face recognition are often faced with images of high dimensionality, direct calculation of the problem. To solve this two problems, one of the PCA has been improved, proposed and implemented a variety of PCA-based Face Recognition. On 3 Face Recognition Based on PCA do theoretical research and experiments on the performance comparison. Experimental results show that the PCA+ 2DPCA combined effect is one of the best methods. Platform: |
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Author:Open00 |
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Description: 基于特征脸的人脸识别，利用PCA进行人脸识别，能很好的实现-Feature-based face recognition using PCA for face recognition, can achieve good Platform: |
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Author:高燕 |
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Description: 基于特征脸和K-L变换的人脸识别系统，人脸识别方面的基本方法-Feature-based face recognition systems and KL transform, the basic method of face recognition Platform: |
Size: 251904 |
Author:郝红岩 |
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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: 发表于ECCV上的一篇用于人脸识别的算法，Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary -At ECCV on an algorithm for face recognition, Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary Platform: |
Size: 13312 |
Author:joe |
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Description: 研究内容包括四个方面：分别是人脸检测，图像的预处理，特征提取和人脸识别。能在不同光照，不同表情，不同姿态的情况下获得准确的识别。-The study includes four aspects: face detection, image preprocessing, feature extraction and face recognition. The accurate identification can be obtained in the case of different light, different expressions, different posture. Platform: |
Size: 5437440 |
Author:xuyanjie |
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Description: 特征脸的人脸识别系统
这个包实现了一个著名的基于PCA的人脸识别。(Feature based face recognition system
This package implements a well-known PCA based face recognition.) Platform: |
Size: 183296 |
Author:jiajiale
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Search - feature based face recognition