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: 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 Platform: |
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 Platform: |
Size: 11264 |
Author:hulingling |
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Description: a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing. Platform: |
Size: 4096 |
Author:ALI |
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Description: real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing. Platform: |
Size: 1064960 |
Author:ALI |
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Description: 基于HMM和SVM分类器的人脸识别系统,非常强大-Face recognition using Hidden Markov Models (HMM) and SVM features for education and study.
Platform: |
Size: 4192256 |
Author:LiMingTian |
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Description: 使用hmm隐马尔科夫链做人脸识别,重量级论文。非常好。
face recognition using an embedded H-face recognition using an embedded HMM Platform: |
Size: 284672 |
Author:hhkk |
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Description: 基于隐马尔科夫模型的人脸识别算法,能够较为准确的完成人脸识别。是马尔科夫场的一种实际应用。-A face recognition method based on HMM which can precisely recognize the faces. It is an application of HMM. Platform: |
Size: 4210688 |
Author:boyuan |
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Description: A New Fast and Efficient HMM-Based Face Recognition System Using a 7-State HMM Along With SVD Coefficients Platform: |
Size: 9162752 |
Author:Meena |
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Description: 完整的基于HMM的语音识别系统,Gabor小波变换与PCA的人脸识别代码,利用matlab针对图像进行马氏距离计算 。- Complete HMM-based speech recognition system, Gabor wavelet transform and PCA face recognition code, Using matlab to calculate the Mahalanobis distance for the image. Platform: |
Size: 5120 |
Author:vehdpd |
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