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Description: 利用opencv裡的hmm function 來達到人臉識別的功能
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Size: 1022 |
Author: 張乃文 |
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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
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Size: 259383 |
Author: 于一 |
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Description: 微软的基于HMM的人脸识别原代码, 非常经典的说-Microsoft HMM-based Face Recognition source, said the very classic
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Size: 9308160 |
Author: 于一 |
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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
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Size: 259072 |
Author: 于一 |
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Description: 隐马尔可夫模型的C语言实现，人工智能算法领域的参考资料。-Hidden Markov Model C language, artificial intelligence algorithms field reference.
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Size: 8192 |
Author: |
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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
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Size: 1024 |
Author: 張乃文 |
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Description: 步态识别程序(HMM),不懂的问我,lzt61@yahoo.com.cn-Gait recognition procedure (HMM), I do not understand the question, lzt61@yahoo.com.cn
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Size: 16476160 |
Author: luzhitian |
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Description: 隐马尔科夫模型程序，这是一个仿真程序，特别适合于初学者-Hidden Markov model procedures, this is a simulation program, especially suitable for beginners
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Size: 7168 |
Author: zhangbo |
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Description: 用隐形马可夫模型来做的人脸识别程序,利用了很多opencv的东西-face recognition by using Hidden markov model, opencv is included
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Size: 259072 |
Author: rick |
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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
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Size: 11264 |
Author: hulingling |
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Description: 基于opencv的HMM人脸识别，可连接摄像头实时拍摄识别！（opencv1.0）-Opencv of HMM-based face recognition, can be connected to real-time camera shot Recognition! (Opencv1.0))
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Size: 1817600 |
Author: zhly |
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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．
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Size: 236544 |
Author: 费富里 |
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Description: 基于Opencv编辑的人脸识别工具，可以直接从USB摄像头获取人脸，依据HMM模型实现-Based on the Opencv editing tools that can directly face recognition from the USB camera for face, HMM. According to the model
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Size: 435200 |
Author: baijiangfeng |
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Description: 基于隐形马尔科夫的特征提取技术，hmm，opencv-Extraction technique based on the characteristics of stealth Markov，hmm，opencv
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Size: 2312192 |
Author: 郭雄伟 |
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Description: 基于HMM算法实现人脸识别，利用opencv开源视觉库来实现人脸识别-Face recognition algorithm based on HMM
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Size: 1612800 |
Author: gaokao |
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Description: 图像数据操作（内存分配与释放，图像复制、设定和转换）
图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出）
矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解）
支持多种动态数据结构（链表、队列、数据集、树、图）
基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构）
结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）
摄像头定标（寻找和跟踪定标模式、参数定标、基本矩阵估计、单应矩阵估计、立体视觉匹配）
运动分析（光流、动作分割、目标跟踪）
目标识别（特征方法、HMM模型）
基本的GUI（显示图像/视频、键盘/鼠标操作、滑动条）
图像标注（直线、曲线、多边形、文本标注）-mage data manipulation (memory allocation and release, image copy, setting, and conversion)
Image/video input/output (support file or camera input, image/video file output)
Matrix/vector data manipulation and linear algebra operations (matrix multiplication, matrix equations, eigenvalue, singular value decomposition)
Support for a variety of dynamic data structures (linked list, queue, data set, tree, graph)
Basic image processing (denoising, edge detection, corner detection, sampling and interpolation, color transformation, morphological processing, histogram, image Pyramid structure)
Structure analysis (connected domain/branch, contour processing, distance transform, image moment, template matching, Hof transform, polynomial approximation, curve fitting, ellipse fitting, the triangulation of the
Camera calibration (search and tracking calibration mode, parameter calibration, basic matrix estimation, single stress matrix estimation, stereo vision matching)
Motion analysis (opti
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Size: 3723264 |
Author: korbon |
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Description: OpenCV基于隐马尔可夫模型（HMM）的人脸识别-Research on Face Recognition Model Based
On Simplifled Pseudo 2D Hidden Markov Model
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Size: 40960 |
Author: 刘科 |
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Description: OpenCV基于隐马尔可夫模型（HMM）的人脸识别源程序(OpenCV based on Hidden Markov model (HMM) for face recognition source program)
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Size: 39936 |
Author: 白云堆儿
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