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计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸
特征提取方法。-Computer Fac
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实现人脸特征定位及人脸描述符提取功能。很好很强大。-
To get started, run "demo". This detects faces in the example
image, loading cached detections from files if available,
localizes the facial features and extracts descr iptors for each
face.
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2D及3D人脸影像特征侦测研究,报告中附有完整的matlab 源码。-Features extraction from 2D and 3D face images. The rar file include pdf document and matlab code descr iption.
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程序实现了基于Gabor特征和PCA的人脸识别算法,具有较好的识别效果。-Program for Gabor features and PCA-based face recognition algorithm has better recognition effect.
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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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1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序
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MATLAB是由美国mathworks公司发布的主要面对科学计算、可视化以及交互式程序设计的高科技计算环境。它将数值分析、矩阵计算、科学数据可视化以及非线性动态系统的建模和仿真等诸多强大功能集成在一个易于使用的视窗环境中,为科学研究、工程设计以及必须进行有效数值计算的众多科学领域提供了一种全面的解决方案,并在很大程度上摆脱了传统非交互式程序设计语言(如C、Fortran)的编辑模式,代表了当今国际科学计算软件的先进水平。 -MATLAB is a U.S. company' s main
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The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
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this a face detector using haar like features
this is an extension of viola jones model with lesser number of features or subset of features-this is a face detector using haar like features
this is an extension of viola jones model with lesser nu
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运用matlab,LBP分割脸部特征,从而达到识别人物面部表情的效果-Use matlab, LBP split facial features, so as to identify the effect of facial expressions
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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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使用MATLAB实现基于颜色特征的人脸检测和识别-Using MATLAB-based color features face detection and recognition
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this codes is Source code for face detection of viola paper.of its Features is:
Feature Computation: The “Integral” image representation
Feature Selection: The AdaBoost training algorithm .
Real-timeliness: A cascade of classifiers.-this code
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ASM算法 MATLAB源代码
人脸特征点定位的目的是在人脸检测的基础上,进一步确定脸部特征点(眼睛、眉毛、鼻子、嘴巴、脸部外轮廓)的位置。定位算法的基本思路是:人脸的纹理特征和各个特征点之间的位置约束结合。-The purpose of the facial feature point positioning is to further determine the position of the facial feature points (eye, eyebrows, nose, mou
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PIVlab - 时间分辨粒子图像测速(PIV)工具:
一种基于GUI的工具,用于预处理,分析,验证,后处理,可视化和模拟PIV数据。
使用MATLAB网络研讨会进行人脸识别代码:
使用MATLAB在线讲座的人脸识别中的主要演示文件。
Gabor特征提取:
该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。
主成分分析:
用于特征提取;
链码:
基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle
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采用传统的方法提取脸部特征以进行人脸识别(Traditional methods are used to extract facial features for face recognition)
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We present a visual assistive system that features mobile face detection and recognition in an uncon-strained environment from a mobile source using convolutional neural networks
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人脸识别系统 通过matlab自带分类器和降噪功能对图片人脸的五官和人脸进行勾勒(The face recognition system is based on Matlab's own classifier and noise reduction function to outline facial features and faces.)
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能够实现人脸识别,充分利用PCA算法选取主要特征对人脸进行识别能够较高准确率实现(Face recognition can be realized, and face recognition can be achieved with high accuracy by making full use of PCA algorithm to select the main features.)
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先通过图像处理提取人脸的各个特征,然后对人脸通过PCA进行降维,然后通过SVM进行人脸识别(Firstly, the features of human face are extracted by image processing, then the dimension of human face is reduced by PCA, and then the face is recognized by SVM)
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