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Description: 基于小波的人脸识别算法的matlab实现-Face recognition based on wavelet algorithm to achieve the Matlab
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Size: 5682 |
Author: 绿色的毛毛虫 |
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Description: 利用OpenCv开发的一个基于adaboost算法和haar小波变换的人脸算法,具体情况可参考Paul Viola ,Robust Real-Time Face Detection,2004-OPEN development of the use of an algorithm based on adaboost haar wavelet transform and the Face algorithm specific reference Paul Viola, Robust Real-Time Face Detection, 2004
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Size: 1024 |
Author: 老余 |
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Description: 基于小波的人脸识别算法的实现。这是我们研究时写的代码，实际应用时可根据自己的需要做适当的调整改变。-Face recognition based on wavelet algorithm implementation. This is our study writing code, the actual application can be based on their own needs appropriate adjustments to change.
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Size: 4096 |
Author: 智能算法 |
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Description: 基于小波的人脸识别算法的matlab实现-Face recognition based on wavelet algorithm to achieve the Matlab
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Size: 5120 |
Author: 绿色的毛毛虫 |
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Description: Library for creating computer vision systems, using OpenCV, encapsulating the main functionalities on easy to use C++ way, and extending them. It includes face recognition, wavelet transform, stereo vision (future) and speak recognition(future).-Library for creating computer vision systems, using OpenCV, encapsulating the main functionalities on easy to use C++ Way, and extending them. It includes face recognition, wavelet transform, stereo vision (future) and speak recognition (future).
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Size: 2207744 |
Author: 廖广军 |
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Description: 一种基于离散小波变换和支持向量机的人脸识别新方法，是PDF格式的-based on the discrete wavelet transform and support vector machines Face Recognition new methods are in PDF format
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Size: 309248 |
Author: pylu[t |
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Description: 基于Gabor小波变换和人工神经网络的人脸识别方法，matlab代码。-Based on the Gabor wavelet transform and artificial neural network methods for face recognition, matlab code.
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Size: 219136 |
Author: 赵菁 |
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Description: 一篇小波包人脸识别的IE文章
Local Discriminant Wavelet Packet Coordinates for Face Recognition .pdf-Face Recognition of a wavelet packet IE article Local Discriminant Wavelet Packet Coordinates for Face Recognition. Pdf
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Size: 285696 |
Author: shj |
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Description: 该文介绍了基于Gabor小波变换和支持向量机的人脸识别.-In this paper, based on Gabor Wavelet Transform and Support Vector Machines Face Recognition.
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Size: 131072 |
Author: Jacky |
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Description: 该程序能够在视频中实时捕捉人脸,算法采用小波分析的方法,从另外一个角度实现了流媒体中的人脸检测。-The program can capture video in real-time human face, the algorithm using wavelet analysis method, from another angle to achieve the streaming media in the face detection.
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Size: 215040 |
Author: 孙继开 |
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Description: 基于Gabor小波变换的特征提取和人工智能的人脸检测系统源代码.-Based on the Gabor wavelet feature extraction and artificial intelligence face detection system source code.
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Size: 190464 |
Author: 张晓 |
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Description: High Performance Face Recognition Based on Wavelet and Neural Networks
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Size: 174080 |
Author: zhong |
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Description: 针对灰度图像，提出一种基于知识的人脸检测方法。
提出了一种给予支持向量机的人脸检测方法。
提出了一种基于小波分解的LDA人脸识别方法。
提出了一种基于小波和DCT的人脸识别方法。
提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。
-For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition.
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Size: 7113728 |
Author: yanyan |
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Description: this book explains the face recognition algorithm using gabor wavelet
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Size: 1259520 |
Author: Mohan |
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Description: This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.-This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This is based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.
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Size: 432128 |
Author: Swati |
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Description: 基于小波变换的人脸识别代码本代码对图像进行小波分解，然后又用最近邻方法实现了图像的识别。-Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!
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Size: 1024 |
Author: 田虎 |
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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: 收集的最全的人脸识别代码 有小波分析，有PCA，有LDA，有特征脸方法实现人脸识别-The most comprehensive collection of face recognition code is wavelet analysis, a PCA, a LDA, there are ways to achieve face recognition feature
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Size: 4450304 |
Author: yangxiaying |
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Description: Face Recognition using wavelet transform in matlab
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Size: 259072 |
Author: hakkeem |
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Description: 基于哈尔小波变换的人脸识别程序
本程序识别速度快，占有容量短。-Ultra Rapid Object Detection in Computer Vision Applications with Haar-like Wavelet Features
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Size: 179200 |
Author: 余蓝涛 |
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