Description: 人脸识别中使用的特征定位源码。 是MATLAB编写的基于多方案统计学的完整的动态形状定位源代码。-Face Recognition feature of the use of source positioning. Is a MATLAB program based on multi-prepared statistics, integrated and dynamic shape of positioning the source code. Platform: |
Size: 23552 |
Author:陈非 |
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Description: 基于PSO训练SVM的人脸识别
利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径-PSO-based SVM for face recognition training using support vector machine learning ability in the performance of good performance, combined with KPCA feature extraction method, applied to face recognition, the method in experiments to identify the performance of a good performance for the field of face recognition has provided a new way to identify Platform: |
Size: 1097728 |
Author:彭伟 |
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Description: 摘 要： 提出了一种基于改进 Ha u s d o r f f距离的人脸相似度匹配的方法， 该方法首先将人脸划分为脸型、 双眼、 鼻、 嘴等几个特征点
集， 分别计算各部分的改进 Ha u s d o r f f 距离， 然后进行加权计算相似度。利用该方法， 在 A S M( 主动形状模型) 定位人脸的基础上进
行了人脸检索。 实验表明， 利用人脸相似度计算方法对人脸特征库进行搜索， 达到 了较好的效果。同时结合 A S M 自动人脸检测， 本
方法可以全自动完成人脸匹配， 应用于人脸识别及数字娱乐等领域。-Abstract: This paper presents a distance based on an improved Ha usdorff face similarity matching method, which will first face is divided into face, eyes, nose, mouth, and several other feature point sets, were calculated to improve the various parts of Ha usdorff distance, and then weighted similarity. Using this method, in the ASM (active shape model) positioned on the basis of human face human face retrieval. Experiments show that the use of face similarity calculation method for facial feature database to search, to achieve good results. ASM automatically combined with face detection, this method can be completed fully automatic human face matching, used in face recognition and digital entertainment and other fields. Platform: |
Size: 202752 |
Author:alsocc |
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Description: 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。但是将LDA直接用于人脸识别
会遇到维数问题和“小样本”问题。人们经过研究，通过多种途径解决了这两个问题并实现了基于I,DA的人脸识
别 文章对几种基于LDA的人脸识别方法做了理论上的比较和实验数据的支持，这些方法包括Eigenfaces、Fish—
erfaceS、DLDA、VDLDA及VDFLDA。实验结果表明VDFLDA是其中最好的一种方法。-Low—dimensional feature representation with enhanced discriminatory power is of paramount importance to face
recognition(FR)system．Linear Discriminant Analysis(LDA)is one of the most popular linear classification techniques of
feature extraction。but it will meet two problems as computational challenging and “small sample size’’when applying to
face recognition directly．After studying people solve the two problems through several ways and realize the face recogni—
tion based on LDA． The short paper here makes compare on theory and experimental data analysis on several Face
Recognition system using LDA—Based Algorithm，such as Eigenfaces(using PCA)，Fisherfaces，DLDA，VDLDA and VD—
FLDA．The experimental results show that the VDFLDA method is the best of al1． Platform: |
Size: 222208 |
Author:费富里 |
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Description: 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和Ekman“面部表情图片”数据库上的实验，证实
了所提方法的有效性。-Proposed based on feature fusion and fuzzy kernel discriminant analysis (FKDA) facial expression recognition. First, face images of each piece of hand-set
Bit 34 basis points, as the geometric features of facial expression images, while using Gabor wavelet transform method to transform the images of each piece of expression, and extraction-based
Quasi-point of the Gabor wavelet coefficients, as Gabor features of facial expression image second, using canonical correlation analysis on the geometric features and Gabor features into
Line feature fusion, as expression recognition of input features then, using fuzzy kernel discriminant analysis method to extract and further identification features of expression Finally, the most
Neighbor classifier to complete expression of the classification. International expression by JAFFE database and Ekman "facial image" database on the experiment, confirmed
The proposed method. Platform: |
Size: 375808 |
Author:MJ |
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Description: 基于特征脸的人脸识别，利用PCA进行人脸识别，能很好的实现-Feature-based face recognition using PCA for face recognition, can achieve good Platform: |
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Author:高燕 |
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Description: This paper investigates a new face recognition system based on an efficient design of MLP classifier using each SIFT (Scale Invariant Feature Transform) keypoint as feature. Platform: |
Size: 96256 |
Author:tongliu |
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Description: This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale
Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong
robustness to the expression, accessory, pose and illumination
variations. One MLP (Multi Layer Perceptron) based network is
adopted as classifier of SIFT keypoint feature. The proposed
classifier classifies each keypoint into face ID then an ID index histogram counting method is applied as the identification method to recognize face images. Also a bootstrapping method is investigated to select training images during training MLP. The performance of face recognition in some challenging databases is improved efficiently. Platform: |
Size: 122880 |
Author:tongliu |
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Description: 一种基于弹性模板匹配的人脸表情识别程序源码。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后后运用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出一种基于弹性模板匹配及K 可直接使用。
-Facial expression recognition based on elastic template matching program source code. First the face image of the gray-scale images for static expression, size, normalized, and then after using Gabor wavelet transform to extract facial expression feature elastography Finally, based on elastic template matching and K can be used directly to construct expression. Platform: |
Size: 753664 |
Author:luissh |
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Description: 本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率。-In this paper, a method based on 24-bit color images of the human face recognition, introduced the main contents of the image processing, it occupies a very important position in the entire software, image processing, direct impact on the positioning and recognition accuracy. This software is mainly used in image processing technology: light compensation, Gaussian smoothing and binarization. , Prior to the recognition, the first on the image processing of the fill light, then the face area obtained through color possible to determine whether that is the face, and finally, under the inherent symmetry of the eyes of the face, while using Gaussian smoothing to eliminate the noise of the image, and then binarization, binarization using local thresholding method, the next positioning operation of the extracted feature values and identification. Tested, image pre-processing module to image processing to achieve better results, locate and identify the correct rate. Platform: |
Size: 1428480 |
Author:nick |
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Description: 提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离
散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等
方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出,
DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速
度。-A face recognition method based on DCT for face feature extraction and support vector machine classification model. Can extract most of the information face recognition using discrete cosine transform and support vector machine as classifier, has unique advantages in dealing with small sample, high dimension and generalization ability, without prior knowledge. As can be seen from the experimental results on the ORL database DCT feature extraction is very effective, and the SVM classification performance better than the nearest neighbor classifier, while increasing the speed of operation of the entire system. Platform: |
Size: 354304 |
Author:罗朝辉 |
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Description: 一个基于FSVM的人脸识别程序，用PCA提取特征，进行识别，里面包含原始的人脸图像-A based on FSVM face recognition program, using PCA feature extraction, identification, which contains the original face image Platform: |
Size: 1352704 |
Author:周 脉成 |
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Description: pca人脸识别 基于代数统计的方法是使用统计学观点提取基向量，之后将人脸向量投影到基向量上，得到的投影值即为不同的人脸图像特征，这种方法利于操作，比较灵活。本次设计采用PCA方法对人脸进行降维，提取特征。
-pca face recognition based on the statistical method Generation is extracted base vectors using a statistical point of view, and then the vector of the face is projected to a base vector the projection value obtained is the type of face image feature, this method is beneficial operation more flexible . The design uses PCA dimensionality reduction, human face feature extraction. Platform: |
Size: 1024 |
Author:wady |
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Description: - Color provide an important clue for extracting the new color LBP histogram features for face recognition using Local Binary Pattern technique. To reduce redundancy RGB color space converted to YCbCr color space. The Local Binary Pattern is a non parametric operator which describes the local spatial structure, of an image into the global features. The face features based on Local Binary pattern has proven to be highly discriminative, which is invariance to monotonic gray level changes and computational efficiency that make it suitable for demanding image analysis task. The Local Binary Pattern features distribution are extracted and generated into a spatially enhanced feature vector to be used as a face descriptor. Color information can become significant for improving face recognition performance of CAS PEAL database, Platform: |
Size: 2048 |
Author:sowmya |
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Description: 基于PCA的人脸识别程序，特征提取采用PCA方法，分类采用近邻法进行分类，先要下载人脸数据库做实验-PCA-based face recognition program, using PCA feature extraction method, classification using nearest-neighbor classification, first download the face database to experiment Platform: |
Size: 1024 |
Author:wang |
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Description: 用于脸部识别时，使用基于像素和区域的图像特征核的稀疏表示的识别算法。-When used in face recognition using image recognition algorithm based on feature pixel and regional nuclear sparse representation. Platform: |
Size: 7168 |
Author:金静 |
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Description: 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 image velocimetry (PIV) tool:
A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data.
Using MATLAB webinar for face recognition code:
The main demo file is used in MATLAB online lectures for face recognition.
Gabor feature extraction:
The program generates a custom Gabor filter bank and uses them to extract image features.
Principal component analysis:
For feature extraction;
Chain code:
Surface contour description of Freeman based on MATLAB) Platform: |
Size: 8155136 |
Author:long1219
|
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Search - face recognition using feature based