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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B
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MATLAB下的人脸定位程序,程序小巧易懂,适合初学者研究进而演化出识别率更好的程序-Under MATLAB Face Locator, the program small and easy to understand, suitable for beginners through research programs evolve better recognition rate
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a simple 2D pca algorithm using Matlab to realize face recognition.
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face recognition using dct and neural networks
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2dpca源代码,用于人脸识别,直接作用于矩阵提取特征。-2dpca the source code for face recognition, feature extraction directly on the matrix.
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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
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人脸识别matlab源代码,应用主分量分析(PCA)实现了人脸识别。-Face recognition matlab source code, application of principal component analysis (PCA) to achieve a face recognition.
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the code is for face recognition in color images.
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通过使用LLE PCA两种方法相结合的思路,提高人脸识别的分别率-LLE PCA by using the idea of combining two methods to improve face recognition rate difference
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图像识别,包括人脸识别和虹膜识别,在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置,先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心,该圆心只要能落在瞳孔内部即可。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective po
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一个人脸识别程序,基于matlab,最后可显示出识别率,比较好用-A face recognition program, based on matlab, the last show recognition rate may be relatively easy to use
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基于光照不变量的人脸识别-Face Recognition,Based on Illumination Invariant
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基于视频的人脸识别研究进展-Video-based Face Recognition Research
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本方法采用pca进行特征提取,knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
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主要用于MATLAB的SVM的人脸识别功能,有具体的代码可以查询-MATLAB-SVM is mainly used for face recognition function, there is a specific code that can query
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一篇基于人脸识别的2dlda代码 各位给点意见-A code based on face recognition 2dlda you to the point
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High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
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这是一个基于人脸识别的双边2DLDA程序,其中每人随机选9个做训练,1个做测试,作20次后平均-This is a bilateral 2DLDA procedures based on face recognition, in which each of 9 randomly selected for training, one to do testing for 20 times the average
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收集的最全的人脸识别代码 有小波分析,有PCA,有LDA,有特征脸方法实现人脸识别-The most comprehensive collection of face recognition code is wavelet analysis, a PCA, a LDA, there are ways to achieve face recognition feature
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This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. T
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