Description: This function calculate block motion vectors (with integer pel accuracy), using hierarchical block matching algorithm.
％An example of main function calling this function is "MEMBA", which can be entered on the command window.
％The function also use the function "EBMA" for motion estimation of every macroblock-This function calculate block motion vectors (with integer pel accuracy), using hierarchical block matching algorithm. An example of main function calling this function is MEMBA , which can be entered on the command window. The function also use the function EBMA for motion estimation of every macroblock Platform: |
Size: 2048 |
Author:冯欣 |
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Description: 基于VC++的图像匹配的金字塔算法。输入原始的512*512灰度图像，同时输入模板图像，分别输出图像和模板图像的三层金字塔图像，用来分层匹配；对输入图像利用小波变换分层，并形成三层金字塔，然后对模板图像做同样的处理，然后从顶至下以此对原始图像和模板图像进行匹配，匹配采用简单的对应像素的绝对误差累计来表示。提供测试模式集及其测试结果。-Based on VC++ pyramid algorithm for image matching. Enter the original 512* 512 grayscale image, while the input template image, respectively, the output image and the template image of the three pyramid images, used for hierarchical matching pairs of input images using wavelet transform layer, and the formation of the three-tier pyramid, and then doing the same template image processing, and then from the top to the next as the original image and the template image matching, matching the corresponding pixel, using a simple total of the absolute error expressed. Provides test pattern set and the test results. Platform: |
Size: 1785856 |
Author:xinxin |
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Description: 提出一种基于小波变换的图像配准方法。该方法首先用小波变换提取边缘特征点, 同时构成小波金字塔影像。在最高层利
用角度相关系数确定基准图像和配准图像之间的旋转角度, 经多分辨分级搜索匹配得到最终匹配特征点对, 利用这些特征点对待
配准图像进行配准纠正。实验结果表明, 改进方法有较好的效果, 可用于广泛应用领域。-Proposed a wavelet-based image registration method. In this method, using wavelet transform to extract the edge feature points, the same time constitute wavelet pyramid image. Point at the highest level the correlation coefficient using the baseline image registration between image and the angle of rotation, the multi-resolution hierarchical searching and matching features of the final match point, the use of these features point towards registration image registration correction. Experimental results show that the improved method has better results, can be used for wide range of applications. Platform: |
Size: 172032 |
Author:xingxing |
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Description: I have solved the hierarchical based template matching problem in matlab of success rate 100 Platform: |
Size: 200704 |
Author:ariful alam |
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Description: 金字塔分层搜索匹配，其中有GUI界面，方面用户直接输入待测图片和模板。-Hierarchical search match the pyramid, including GUI interface, the user directly measured in images and templates. Platform: |
Size: 1598464 |
Author:xyz |
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Description: 1_On the Dimensionality Reduction for Sparse Representation based
Face Recognition
2_Fingerprint Pore Matching based on Sparse Representation
3_Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and
Non-MA Dictionary Learning
4_Parallel versus Hierarchical Fusion of Extended Fingerprint Features
5_Monogenic Binary Pattern (MBP): A Novel Feature Extraction and
Representation Model for Face Recognition Platform: |
Size: 1445888 |
Author:abdou |
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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. Platform: |
Size: 3018752 |
Author:zhaiyunlong |
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Description: 在demo中，用EKF和有噪声的EKF训练非线性、非平稳数据。-In this demo, I use the EKF and EKF with noise adaptation to train a neural network with data generated a nonlinear, non-stationary state space model. Adaptation is done by matching the innovations ensemble covariance to the covariance over time so as to make the one-step-ahead predictions become white (i.e. all the information in the data is absorbed by the model). All the derivations are presented, in detail, in Nando de Freitas, Mahesan Niranjan and Andrew Gee. Hierarchical Bayesian models for regularisation in sequential learning. Neural Computation. Vol 12 No 4, pages 955-993. After downloading the file, type tar-xf demo3.tar to uncompress it. This creates the directory demo3 containing the required m files. Go to this directory, load matlab and type ekfdemo1. Figure 1 will then show you the simulation results. Platform: |
Size: 5120 |
Author:zhang |
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Description: VLFeat是一个跨平台的开源机器视觉库，它囊括了当前流行的机器视觉算法，如SIFT, MSER, HOG, 同时还包含了诸如K-MEANS, Hierarchical K-means的聚类算法。它由C语言编写，并提供了Matlab接口及详细的文档。当前最新的版本是VLFeat 0.9.18 。(The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, 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 0.9.20.) Platform: |
Size: 3016704 |
Author:mgx0225
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Search - hierarchical matching