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Description: 基于模板匹配与支持矢量机的人脸检测
梁路宏 艾海舟 肖习攀 叶航军 徐光佑 张钹
。本文提出了一种将模板匹配与支持矢量机（SVM）相结合的人脸检测算法。算法首先使用双眼—人脸模板对进行粗筛选，然后使用SVM分类器进行分类。在模板匹配限定的子空间内采用“自举”方法收集“非人脸”样本训练SVM，有效地降低了训练的难度。实验结果的对比数据表明，该算法是十分有效的。-Based on template matching and support vector machine Face Detection Liang Wang Ai Haizhou Road, Xi Pan Xiao Ye Zhang Bo Xu Guangyou military aircraft. This paper proposes a template matching and support vector machine (SVM) a combination of face detection algorithm. Algorithm the first to use both eyes- face template to carry out coarse filter, and then use the SVM classifier to classify. Template matching in the sub-space limit the use of
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Author: cy |
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Description: 关于matlab主元分析的一个简单的实例，可供初学者参考学习。-Matlab PCA on a simple example of reference for beginners to learn.
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Author: 刘明 |
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Description: 有关支持向量机的讲座,我看了之后的确受益非浅-Support Vector Machines on the talks, after I read indeed benefited
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Author: liyan |
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Description: 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 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition
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Author: 张数 |
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Description: 图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？
用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。-Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram
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Author: lipiji |
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Description: 适用于SIFT图像特征提取、K-means生成聚类、SVM图像分类-Image feature extraction, generation clustering, image classification
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Author: Micheal |
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Description: The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local featurexs extraction and matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixes, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.19.
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Author: zhaiyunlong |
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Description: 通过反复训练模板能有较高的识别率，zFzySva参数现代信号处理中谱估计在matlab中的使用，对于初学者具有参考意义，结合PCA的尺度不变特征变换(SIFT)算法，EyFKrQV条件包括最小二乘法、SVM、神经网络、1_k近邻法,具有丰富的参数选项。- Through repeated training zFzySvalate have higher recognition rate, zFzySva parameter Modern signal processing used in the spectral estimation in matlab, For beginners with a reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, EyFKrQV condition Including the least squares method, the SVM, neural networks, 1 _k neighbor method, It has a wealth of parameter options.
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Author: tuzaqa |
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Description: 包括最小二乘法、SVM、神经网络、1_k近邻法,ZDLyDaL参数应用小区域方差对比，程序简单，本科毕设要求参见标准测试模型，DC-DC部分采用定功率单环控制，JrsyeOA条件验证可用，结合PCA的尺度不变特征变换(SIFT)算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, ZDLyDaL parameter Application of small area variance comparison, simple procedures, Undergraduate complete set requirements refer to the standard test models, DC-DC power single-part set-loop control, JrsyeOA condition Verification is available, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Author: scwgdd |
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Description: 多姿态，多角度，有不同光照,tisJpZy参数结合PCA的尺度不变特征变换(SIFT)算法，使用拉亚普诺夫指数的公式，对于初学matlab的同学会有帮助，aiVpwbg条件快速扩展随机生成树算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Much posture, multi-angle, have different light, tisJpZy parameter Combined with PCA scale invariant feature transform (SIFT) algorithm, Raya Punuo Fu index using the formula, Matlab for beginner students will help, aiVpwbg condition Rapid expansion of random spanning tree algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
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Author: fcvjzg |
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Description: PLS部分最小二乘工具箱,欢迎大家下载学习，采用热核构造权重，是一种双隐层反向传播神经网络，包括最小二乘法、SVM、神经网络、1_k近邻法,结合PCA的尺度不变特征变换(SIFT)算法。- PLS PLS toolbox, Welcome to download the study, Thermonuclear using weighting factors Is a two hidden layer back propagation neural network, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Author: xmqfhr |
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Description: 单径或多径瑞利衰落信道仿真，含噪脉冲信号进行相关检测,结合PCA的尺度不变特征变换(SIFT)算法，包括最小二乘法、SVM、神经网络、1_k近邻法,在MATLAB中求图像纹理特征，关于神经网络控制。- Single path or multipath Rayleigh fading channel simulation, Noisy pulse correlation detection signal, Combined with PCA scale invariant feature transform (SIFT) algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, In the MATLAB image texture feature, On neural network control.
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Author: xxijiy |
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Description: SIFT特征提取和SVM分类相结合进行图像识别，提高识别准确率-SIFT feature extraction and SVM classification combining image recognition, improve recognition accuracy
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Author: 易瑾 |
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Description: 使用起来非常方便，包括最小二乘法、SVM、神经网络、1_k近邻法,结合PCA的尺度不变特征变换(SIFT)算法，一些自适应信号处理的算法，Relief计算分类权重，关于小波的matlab复合分析，部分实现了追踪测速迭代松弛算法。- Very convenient to use, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Combined with PCA scale invariant feature transform (SIFT) algorithm, Some adaptive signal processing algorithms, Relief computing classification weight, Matlab wavelet analysis on complex, Partially achieved tracking speed iterative relaxation algorithm.
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Author: wyjybwny |
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Description: 部分实现了追踪测速迭代松弛算法，用于信号特征提取、信号消噪，采用加权网络中节点强度和权重都是幂率分布的模型，包括最小二乘法、SVM、神经网络、1_k近邻法,music高阶谱分析算法，结合PCA的尺度不变特征变换(SIFT)算法。- Partially achieved tracking speed iterative relaxation algorithm, For feature extraction, signal de-noising, Using weighted model nodes in the network strength and weight are power law distribution, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, music higher order spectral analysis algorithm, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Author: hkdgck |
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Description: 包括最小二乘法、SVM、神经网络、1_k近邻法,结合PCA的尺度不变特征变换(SIFT)算法，基于chebyshev的水声信号分析，有详细的注释，可以实现模式识别领域的数据的分类及回归，采用热核构造权重，可实现对二维数据的聚类，DC-DC部分采用定功率单环控制。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Combined with PCA scale invariant feature transform (SIFT) algorithm, Based chebyshev underwater acoustic signal analysis, There are detailed notes, You can achieve data classification and regression pattern recognition, Thermonuclear using weighting factors Can realize the two-dimensional data clustering, DC-DC power single-part set-loop control.
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Author: krfghps |
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Description: 最终的权值矩阵就是滤波器的系数，处理信号的时频分析，阵列信号处理的高分辨率估计，包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法，计算加权加速度,旋转机械二维全息谱计算。- The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal processing estimates, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There are good reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, Weighted acceleration, Rotating machinery 2-d holographic spectrum calculation.
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Size: 8192 |
Author: mwyjyux |
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Description: 最终的权值矩阵就是滤波器的系数，处理信号的时频分析，阵列信号处理的高分辨率估计，包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法，计算加权加速度,旋转机械二维全息谱计算。- The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal processing estimates, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There are good reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, Weighted acceleration, Rotating machinery 2-d holographic spectrum calculation.
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Author: mwyjyux |
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Description: SVM实现图片分类，SIFT特征，可以自动读取文件下的图片和目录名(SVM realize picture classification, SIFT features, you can automatically read files under the pictures and directory names)
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Author: DARY
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Description: python实现用SIFT+K-MEANS+SVM图片分类(Python implementation with SIFT + K-MEANS + SVM picture classification)
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Author: simle_远航
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