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Description: Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motion-based tracking framework which makes no such assumptions. Object is represented by a set of local invariant features, whose motions are observed by a feature correspon-
dence process. A generative model is proposed to depict
the relationship between local feature motions and object
global motion, whose parameters are learned efciently by
an on-line EM algorithm. And the object global motion is estimated in term of maximum likelihood of observations.Then an updating mechanism is employed to adapt object representation. Experiments show that our framework is
exible and robust in dealing with appearance changes,background clutter, illumination changes and occlusion
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Author: chenjieke |
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Description: 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分类判别函数与判别规则，通过对目标特征的分析和匹配来识别目标。-this design requirements to achieve medical image identification process, including the image preprocessing, Image feature extraction and classification ruling three modules. This pretreatment step in the main achievement of the color image is converted to grayscale images, the two gray-scale image value, histogram amendment to remove interference and noise variance Edge Enhancement; the second module is the image feature extraction. Because of the physical objects with geometric characteristics difference in the images showed local area Gray significant changes, the video features, feature extraction and image is its processing, compilation, analysis, summarized in order to extract constitute the target image features can be reflected image as distinct from the other characteristics of th
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Author: uhih |
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Description: 采用Microsoft Media Encode SDK对文件进行DRM二次加密的一个实际用例，在这里重点演示了如何添加一个已经保存好的DRM配置，如果广播本地数据到一个Media Service服务器。本人主要从事流媒体播放的工作，有兴趣者可以和我联系。email:cxingpeng@gmail.com-Microsoft Media Encode SDK documentation for the second increase DRM close with an actual cases, the focus here in the demonstration of how to add a preserve good DRM configuration, If broadcasting local data to a server Media Service. I mainly engaged in streaming media broadcast the work of those who are interested can contact me. Email : cxingpeng@gmail.com
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Author: cxingpeng |
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Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
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Author: 刘长乐 |
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Description: SIFT标准代码（IJCV04D.Lowe），完成局部特征的提取和描述。运行环境Visual Studio2005，为win32程序-SIFT standard code (IJCV04D.Lowe), the completion of local feature extraction and description. Operating environment Visual Studio2005, the procedure for win32
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Size: 1408000 |
Author: chenglei |
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Description: SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。该程序为sift的演示程序-SIFT algorithm is a local feature extraction algorithms, in scale space to find extreme points, extract the location, scale and rotation invariant. Sift the program for the demo program
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Author: 王云云 |
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Description: 提出一种基于多纹理特征融合的新颖虹膜识别方法。该方法对虹膜图像做Gabor 小波变换
提取不同分辨力不同方向下的纹理特征作为虹膜的全局特征，在滤波后的子窗口图像上运用灰度
级共现矩阵(COM)提取虹膜的局部特征。通过加权欧几里德距离和最小距离分别对全局特征和局部
特征进行分类识别。-A texture feature fusion based on multi-novel iris recognition method. The method of iris image make Gabor wavelet transform extracted under different resolution in different directions as the texture feature of the overall characteristics of the iris, in the post-filter sub-window image using gray level co-occurrence matrix (COM) of the local feature extraction of the iris. Through the weighted Euclidean distance and minimum distance, respectively, on the global features and local features for classification.
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Author: 闫慧 |
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Description: 在综合描述声发射信号特点和小波殳换基本原理的基础上，结合实例介绍同时在时域
和频域具有局部分析能力的信号处理方法--小波变换在声发射信号的特征提取、时频分析和噪声去除等方面的应用。-Described in the integrated acoustic emission signal characteristics and the basic principles of wavelet Shu-for on the basis of the introduction with an example in the time domain and frequency domain with the capacity of local analysis of wavelet transform signal processing method of acoustic emission signals in the feature extraction, time-frequency analysis and noise Removal of such applications.
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Size: 230400 |
Author: 康康 |
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Description: 这是一个用C++语言实现一个指纹识别程序，程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配-This is a C++ Language realization of a fingerprint identification procedures, program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filter , based on local feature points of the feature matching
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Author: 张晓 |
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Description: 用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配-With C++ Language realization of a fingerprint identification procedures, require FVC meet international competition standards and the establishment of the fingerprint in the school library measured. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint refinement, feature extraction, feature point filtering, based on local feature points of the feature matching
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Author: mysisi |
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Description: 在指纹特征提取中，结合方向图和图像局部灰度方差对指纹图像进行分割，然后再进行阈值分割去处边缘效应得出较好的分割结果。-In the fingerprint feature extraction, the combination of pattern and image local variance of gray-scale fingerprint image segmentation, and then conducted threshold segmentation edge effects come to a better place for the segmentation results.
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Size: 67584 |
Author: zizou |
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Description: 这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配-This is a C++ Language realization of a fingerprint identification procedure, the requirements FVC meet international competition standards, and established in the school library on the measured fingerprint. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filtering, based on local feature points of the feature matching
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Author: job |
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Description: Invariant Local Feature for Image Matching,主要是介绍了一下图像副本检测的系统，先对图像提取sift特征，再用LSH匹配-Invariant Local Feature for Image Matching, mainly introduced a copy of what the image detection system, first sift the characteristics of the image extraction, and then match the LSH
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Size: 1699840 |
Author: 潘自建 |
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Description: daisy local image feature
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Size: 72704 |
Author: keller |
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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
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Size: 315392 |
Author: MJ |
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Description: 视频序列中的运动目标检测、局部特征分析
方法的研究以及静态背景下的运动目标跟踪-Video sequence motion detection, local feature analysis methods and the static background of a moving target tracking
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Author: xxx |
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Description: 基于matlab的人脸识别分析，参考文献为：
[1] X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and
Gestures -Matlab-based face recognition analysis, references to: [1] X. Tan and B. Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures
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Author: 透明 |
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Description: The SIFT algorithm[1] takes an image and transforms it into a collection of local feature vectors.
Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or
translation of the image. In the original implementation, these features can be used to find
distinctive objects in differerent images and the transform can be extended to match faces in
images. This report describes our own implementation of the SIFT algorithm and highlights
potential direction for future research.-The SIFT algorithm[1] takes an image and transforms it into a collection of local feature vectors.
Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or
translation of the image. In the original implementation, these features can be used to find
distinctive objects in differerent images and the transform can be extended to match faces in
images. This report describes our own implementation of the SIFT algorithm and highlights
potential direction for future research.
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Size: 357376 |
Author: bou33aza |
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Description: Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from images that we have called local binary linear discriminant
analysis (LBLDA), which combines the good characteristics of both LDA and local feature extraction methods. We demonstrated that binarizing the feature vector obtained by LBLDA significantly improves the recognition accuracy.
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Size: 233472 |
Author: Hung Truong |
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Description: 基于局部特征的目标识别技术研究，阐述了解决遮挡情况下使用局部特征来识别目标的局部特征提取方法-Target recognition technology research based on local features of the local feature extraction methods solve occlusion using local feature to identify target
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Author: 许俊峰 |
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