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采用基于lpp和lda算法的人脸识别,本算法同时结合lpp算法和lda的有点,能够很好地进行人脸识别。-face recognition based on lpp and lda
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程序中有人脸识别,车牌识别,文字识别,细胞边缘检测,Snake算法,不同搜索方法比较等代码。其中车牌识别是VC环境下开发,其他的是Matlab环境下开发。-Procedures are face recognition, license plate recognition, character recognition, cell edge detection, Snake algorithm, a comparison of different search methods code. One
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利用PCA(主成分分析)技术实现了人脸识别-this program has realized face recognition by using the PCA technology
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经典的基于Viola Jones算法的人脸识别matlab程序-the classic face recognition matlab program based on Viola Jones algorithm
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基于Processed histogram的人脸识别方法,方法简单,识别率高,参考文献“Face Recognition using processed histogram and phase only correlation”-Recognizing objects from large image databases, histogram based methods have proved simplicity and usefulness in last decade. Initially
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实现2DLDA和LDA对人脸识别的比较,有论文和相应的程序,matlab编写-A matlab code of 2DLDA and LDA for face recognition
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LDA实现人脸特征提取和识别,用matlab编写,和结果分析-A matlab code of LDA for face recognition
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用SVM实现人脸特征提取和识别,用matlab编写,和结果分析-A matlab code of SVM for face recognition
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一个小波+快速傅立叶变换的人脸识别程序,程序简单,效果好-A wavelet+ Fast Fourier Transform for Face Recognition Procedure
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人脸识别的源代码 经典的pca和lda人脸识别
实现的成功率有待改进 好的可以达到70 -Face recognition source code for pca and lda classic face recognition could be improved to achieve a good success rate can reach 70
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face detection and face recognition program and face tracking do and enjoy u r luck-face detection and face recognition program and face tracking do and enjoy u r luck
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This a simple program that uses distance tool in matlab to determine geometry feature of the face, which then can be classification or clustering , or face recognition-This is a simple program that uses distance tool in matlab to determine geometry f
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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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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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INface toolbox for illumination invariant face recognition
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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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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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