Description: 在本设计中源于将图像看作随机场的实例,同时从信号处理的观点出发，对图像进行统计描述。通过K-L变换降低人脸特征的维数，提取人脸图像的代数特征，并排序。这样，利用代数特征的比较，可从人脸库中识别一幅人脸。-in the design of the images from the airport as with the examples, from the viewpoint of signal processing, right image descriptive statistics. Through K-L transform facial features to reduce the dimension, extracting facial image algebraic characteristics, and sorting. Thus, the use of algebra, from the human face an identifiable face. Platform: |
Size: 15864 |
Author:hhh |
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Description: 在本设计中源于将图像看作随机场的实例,同时从信号处理的观点出发，对图像进行统计描述。通过K-L变换降低人脸特征的维数，提取人脸图像的代数特征，并排序。这样，利用代数特征的比较，可从人脸库中识别一幅人脸。-in the design of the images from the airport as with the examples, from the viewpoint of signal processing, right image descriptive statistics. Through K-L transform facial features to reduce the dimension, extracting facial image algebraic characteristics, and sorting. Thus, the use of algebra, from the human face an identifiable face. Platform: |
Size: 15360 |
Author:hhh |
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Description: 利用快速傅立叶变换实现了人脸表情图像的Gabor变换的快速算法
针对不同尺度的Gabor小波特征采用不同的下采样因子来对Gabor变换特征进行第一次降维
利用一种改进的核鉴别分析方法对Gabor特征进行二次特征提取-using fast Fourier transform of Facial Expression Gabor transform the image of the fast algorithm for different foot the Gabor wavelet characteristics under different sampling factor to the Gabor transform features the first drop Shalikashvili Improved use of nuclear discriminant analysis method Gabor features second feature extraction Platform: |
Size: 32768 |
Author:zouchanjie |
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Description: 針對單一人臉做出五官的檢測定位,並在人臉上畫出五官的方框作為表示.-For a single human face detection features make positioning, and his face painted in the box as an express facial features. Platform: |
Size: 3072 |
Author:李毅駿 |
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Description: 基于ORL人脸库的人脸识别的特征人脸的提取源代码。-Based on the ORL face database for face recognition facial features extraction source code. Platform: |
Size: 4096 |
Author:yuzhun21 |
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Description: 这是一个人脸识别程序能够在脸部移动的同时识别脸部特征.-This is a face recognition program moving in the facial recognition facial features at the same time. Platform: |
Size: 11264 |
Author:homomakaka |
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Description: 结合人脸肤色和发色进行的人脸检测，可以忽略人脸的姿态表情，不用进行人脸特征的定位-Combination of face color and hair color for face detection, facial gesture can ignore the expression, do not carry out the positioning of facial features Platform: |
Size: 1024 |
Author:gu |
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Description: 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influence of the
eigenvectors which relate to the changes of the iUumination on abstract features，a modified PCA ( A)
algorithm is propo sed．The method is based on the idea of reducing the influence of the eigenvectors associated
with the large eigenvalues by normalizing the feature vector element by its corresponding standard deviation．
Th e Yale face database and Yale face database B are used to verify the method．The simulation results show
that，f0r front face and even under the condition of limited variation in the facial po ses the proposed method
results in better perform ance than the conventional PCA and linear discriminant analysis(LDA)approaches．and
the computational cost remains the same as that ofthe PCA，and much less than that ofthe LDA． Platform: |
Size: 205824 |
Author:费富里 |
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Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches. Platform: |
Size: 25600 |
Author:mhm |
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Description: 为了更有效地提取图像的局部特征，提出了一种基于2维偏最小二乘法(two—dimensional partial least
square，2DPLS)的图像局部特征提取方法，并将其应用于面部表情识别中。该方法首先利用局部二元模式(1ocal
binary pattern，LBP)算子提取一幅图像中所有子块的纹理特征，并将其组合成局部纹理特征矩阵。由于样本图像
被转化为局部纹理特征矩阵，因此可将传统PLS方法推广为2DPLS方法，用来提取其中的判别信息。2DPLS方法
通过对类成员关系矩阵的构造进行相应的修改，使其适应样本的矩阵形式，并能体现出人脸局部信息重要性的差
异。同时，对于类成员关系协方差矩阵的奇异性问题，也推导出了其广义逆的解析解。基于JAFFE人脸表情库的
实验结果表明，该方法不但可以有效地提取图像局部特征，并能取得良好的表情识别效果。-To better the image of the local feature extraction, a partial least squares method based on 2D (two-dimensional partial least
square, 2DPLS) image local feature extraction method, and applied to facial expression recognition. In this method, use of local binary pattern (1ocal
binary pattern, LBP) operator extracts an image texture features of all sub-blocks, and their combination into the local texture feature matrix. As the sample image
Be translated into the local texture feature matrix, so the traditional PLS method can be generalized to 2DPLS method used to extract the identification information. 2DPLS method
Through the class membership matrix in the corresponding modifications to adapt the sample matrix, and can reflect the importance of face poor local information
Different. Meanwhile, members of the class covariance matrix of the singular relations issues, also derived the generalized inverse of the analytical solution. Based on the JAFFE facial expression database
Platform: |
Size: 315392 |
Author:MJ |
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Description: Along with biological features recognition technology s development，the
high precision biometric technology is widely used in the identity verification
more and more．Such as：fingerprint recognitions，iris scanning，retina
scanning，sound ripple，palm prints，facial features recognition and so
on．The technologies including fingerprints，retina，iris biometric recognition
have relatively high credibility and accuracy．Because fingerprint gathering is
relatively convenient and the hardware is easy to be realized，the fingerprint
recognition algorithm is more mature than the other biometric recognition
technologies．The fingerprint recognition has higher usability and feasibility in
terms of the overall performances．-Along with biological features recognition technology' s development, the high precision biometric technology is widely used in the identity verification more and more. Such as: fingerprint recognitions, iris scanning, retina scanning, sound ripple, palm prints, facial features recognition and so on. The technologies including fingerprints, retina, iris biometric recognition have relatively high credibility and accuracy. Because fingerprint gathering is relatively convenient and the hardware is easy to be realized, the fingerprint recognition algorithm is more mature than the other biometric recognition technologies. The fingerprint recognition has higher usability and feasibility in terms of the overall performances. Platform: |
Size: 540672 |
Author:zhengxinlong |
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Description: 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 Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method. Platform: |
Size: 224256 |
Author:Highjoe |
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Description: 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 descriptors for each
face. Platform: |
Size: 538624 |
Author:lyn |
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Description: 结合Gabor特征和adaboost的人脸表情识别方法，内附matlab源程序和实验-Combination of Gabor features and adaboost of facial expression recognition methods, and experimental matlab source code included Platform: |
Size: 4384768 |
Author:刺史 |
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Description: 人脸垂直灰度积分投影matlab实现,利用灰度投曲线可以很好的看出人脸五官位置-Face vertical gray integral projection matlab implementation, the use of gray cast curve can be a good location to see facial features Platform: |
Size: 1024 |
Author:茜茜公主 |
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Description: 利用MATLAB对脸部特征进行降维提取，数据齐全，可以直接运行。-Using MATLAB to reduce the dimension of facial features extraction, data is complete, can be run directly. Platform: |
Size: 6667264 |
Author:马振磊 |
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Description: 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) Platform: |
Size: 1024 |
Author:方晴
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Description: 运用HOG提取人脸特征与支持向量机算法训练模型，进行人脸识别(Using HOG to extract facial features and support vector machine algorithm training model for face recognition) Platform: |
Size: 7041024 |
Author:BrokenMoon
|
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Description: 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.) Platform: |
Size: 326656 |
Author:虾宝丶 |
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Description: matlab人脸识别,能精准识别照片中的人脸，并且精确识别出人脸五官，给出照片库，能进行对比从而找出人脸。(Matlab face recognition, can accurately identify the face in the photo, and accurately identify the facial features, give a photo library, can be compared to find out the face.) Platform: |
Size: 15360 |
Author:帅哥.. |
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Search - Facial features matlab