搜索资源列表
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kpca 用于人脸识别等的matlab源码,KPCA for face recognition matlab source, etc.
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该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-This pack of code implement a imges-based face recognition using sparse representation classification. In the algorithm, i employ GPSR as tool to complete the optimization procedure of l1-minimization.
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采用特征脸的人脸识别MATLAB程序,识别特定的人脸-Eigenfaces for Face Recognition using MATLAB procedures, identify a specific face
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用matlab做的人脸识别程序效果很好，可以框出照片人脸。-Face recognition using matlab to do the procedure well, you can frame a photo face.
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这是一个采用特征脸的人脸识别matlab 程序，可以实现人脸识别功能。希望大家支持一下-This is an eigenface face recognition using matlab procedures, face recognition function can be achieved. I hope you will support you
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使用Eigen face和PCA的方法进行面部识别.建立面部特征库,将输入的面部特征与库中数据比较找出近似的.-using Eigen face and PCA to do the face recognition. The final result is base on the threshold of Eigen face distance
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人脸识别：使用PCA方法，即主成分分析，区分人脸和非人脸。主要用于随即过程大作业。-Face Recognition: Using the PCA method, that is, principal component analysis, the distinction between face and non-human face. Then the process used mainly for large operations.
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this a source codes for face recognition using local features
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这是用matlab编写的关于人脸识别的基于pca的完整程序，非常实用-This is prepared using matlab on pca-based face recognition of the integrity of the process, very useful
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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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人脸识别程序，采用的是knn分类器，基于类内类间距离准则，特征提取。-Face recognition process, using the knn classifier, based on within-class inter-class distance criteria, feature extraction.
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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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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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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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利用Gabor特征进行人脸识别的论文与matlab实现算法，比较新，感觉还不错。-Face recognition using Gabor features papers and matlab algorithm, a relatively new, I feel pretty good.
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脸部识别,用于简单的matlab的小玩意，比较简单，易用。-face recogni
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用matlab实现人脸识别的重要部分人脸检测部分，很实用的代码。-Face recognition using matlab to achieve an important part of the face detection part, a very useful code.
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提取人脸图像pca降维特征以实现人脸识别，采用MATLAB语言实现实现-Extracting features of face image PCA to realize face recognition, using MATLAB language
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MATLAB人脸识别，采用主成分分析的人脸识别，程序不复杂。(MATLAB face recognition, using principal component analysis of face recognition, the program is not complex.)
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