Description: HMM用于人脸识别，从OPENCV里提取出来的,非常经典的说-HMM for face recognition, OPENCV extract from the very classical said Platform: |
Size: 259072 |
Author:于一 |
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Description: 用hmm实现的人脸识别及其文档，转自国外网站-hmm use face recognition and realization of the documents, decanted from overseas sites. Platform: |
Size: 336896 |
Author:赵棋 |
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Description: this model that uses HMM algorithm.I hope it would help you deal with face recognition.-this model that uses HMM algorithm.I hop e it would help you deal with face recognition. Platform: |
Size: 190464 |
Author:hd |
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Description: 这是一个基于VC 开发的人脸识别软件，具有速度快，识别率高的特点。-This is a VC based on the development of face recognition software, speed, high recognition rate. Platform: |
Size: 3295232 |
Author:zbf |
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Description: 利用opencv裡的hmm function 來達到人臉識別的功能
-Using opencv in the Face Recognition hmm function to achieve the function of Platform: |
Size: 1024 |
Author:張乃文 |
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Description: 用ＨＭＭ算法实现人脸识别，对学习HMM初学者可以提供参考-Face Recognition Using HMM algorithm for learning HMM can provide a reference for beginners Platform: |
Size: 15360 |
Author:哥琴 |
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Description: 人脸识别的VC++的程序例子,本压缩中已包含了图片.-Face Recognition VC++ Procedure example, the compression has been included in the picture. Platform: |
Size: 1387520 |
Author: |
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Description: 很好的人脸识别的源码，主要采用hmm原理-Very good face recognition source code, the main principle of the use of hmm Platform: |
Size: 40960 |
Author:hello |
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Description: 本人收集的人脸识别最新资料，从08年到09年，包含各种人脸识别的优秀算法，PCA,HMM,2DPCA,KDDA,一共20个文件，需要安装CAJ阅读器阅读，是不可多的学习和研究的参考资料（不是源码，算法详细）-I gather the latest information for face recognition, from 2008 to 2009, contains an excellent variety of face recognition algorithms, PCA, HMM, 2DPCA, KDDA, a total of 20 files, need to install CAJ readers to read, is not more than study and research references (not the source, the algorithm in detail) Platform: |
Size: 8965120 |
Author:winnershu |
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Description: 采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the existing segmentation of image observations for all embedded and internal HMM function, the calculation may be The transformation matrix Platform: |
Size: 11264 |
Author:hulingling |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition． Platform: |
Size: 236544 |
Author:费富里 |
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Description: 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. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target HMM states rather than competing HMM states. Accordingly, we develop the maximum confidence hidden Markov modeling (MC-HMM) for face recognition. Platform: |
Size: 52224 |
Author:rupesh |
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Description: 用HMM算法实现人脸识别的代码，经典不容错过-Face recognition algorithm with the HMM code, classic not to be missed Platform: |
Size: 428032 |
Author:yuchaoyan |
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Search - HMM face recognition