搜索资源列表
vlfeat-0.9.4-bin.tar
- mser,sift,etc for extracting features of images
vlfeat-0.9.3.tar
- 国外机器视觉试验室的研究成果，包含了SIFT和MSER等图像检测与描述算法-Foreign machine vision laboratory research results, including the images, such as SIFT and MSER detection and descr iption algorithm
vlfeat
- Andrea Vedaldi and Brian Fulkerson 写的视觉特征提取（sift tree）经典源代码，现在很多人使用它。-Andrea Vedaldi and Brian Fulkerson written in visual feature extraction (sift tree) classical source code, and now many people use it.
vl.sift.tar
- 利用sift方法实现图像特征提取和图像匹配-to realize image feature extraction and image matching by the method of sift.
vlfeat-0.9.7.tar
- 目前国外比较流行的关于mser和siht的算法，大家可以学习学习-Now more popular abroad and siht on mser algorithm, we can learn to learn
vlfeat-0.9.9.tar
- 这是一个著名的MATLAB/C实现的sift算法库。 并且被分解成几个可以重用的M和MEX文件。 这个实现产生一些关键点和描述子，和David Lowe s的实现差不多。-This is a MATLAB/C implementation of the SIFT detector and descr iptor. It is customizable and features a decomposition of the algorithm in several reusable M a
vlfeat-0.9.9
- 基于sift算法的图像匹配。并用RANSEC算法去除错误匹配。最后还给出了sift算法的图像拼接。-Sift-based image matching algorithm. And use RANSEC algorithm to remove false matches. Finally, given the sift algorithm for image stitching.
stitck
- Vlfeat自带的SIFT图像拼接算法，拼接效果还是不错的，速度有点慢-sift stitcking in Vlfeat toolbox
vlfeat-0.9.13
- SIFT特徵點的尋找及對應，該作者還有附上教學網站-searching and matching of SIFT feature points, the editor has his tutorial published on web
vlfeat-0.9.14-bin.tar
- vlfeat,包含SIFT图像特征提取算法，matlab接口，可以进行dense sift和普通sift，核心部分由c实现，计算高效。-Vlfeat, contains the SIFT image feature extraction algorithm, Matlab interface, can be dense sift and general sift, the core part is implementated by C, computational efficiency.
vlfeat-0.9.5-bin.tar
- 图像特征提取工具包，内包含多种特征提取算法。-Image feature extraction toolkit contains a variety of feature extraction algorithm.
VLFEATROOT
- VLFEATROOT是在matlab环境下使用vlfeat对图像进行处理的工具，具体使用方法可参考vlfeat.org-VLFEATROOT Matlab environment vlfeat image processing tools, specific use reference vlfeat.org
vlfeat-0.9.16.tar
- VLFeat是一款由Andrea Vedaldi和Brian Fulkerson先生创建的开源图像处理库，都属于机器视觉算法，vlfeat库有C和matlab两种实现，包括了SIFT,MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift 这个库是C语言写的，效率比较高，支持Windows, Mac OS X, and Linux操作系统。可以在matlab、Shel
vlfeat-0.9.18-bin.tar
- 图像拼接的神器，可以拼接彩色图片,需要在matlab下使用，简单易用，也可以到它的官网看看说明哦-Artifact image stitching, color pictures can be spliced
vlfeat-0.9.18.tar
- 一个图像处理工具包，包含Canny边缘检测、SIFT特征提取，Harris角点检测等-It is a bag of image processing.
yael_kmeans
- kmeans算法，可处理千万级样本的快速kmeans算法，这是我研究过程中找到的最好用的kmeans算法之一，另外一个好用的是vlfeat中的kmeans包-kmeans clustering algorithm, the best kmeans implementation I ve ever found
vlfeat-0.9.20
- vlfeat-0.9.20 代码，下载可用-vlfeat-0.9.20 code
practical-cnn-2016a-code-only.tar
- VGG卷积神经网络练习，在matlab中使用vlfeat/matconvnet对图像进行去模糊的操作进而更好的识别图像(VGG Convolutional Neural Networks Practical)
vlfeat-0.9.20-bin.tar
- 常用工具包，特征提取方法，如HOG，sift等特征，分类方法如决策树，svm等(Commonly used toolkits, feature extraction methods, such as HOG, sift and other features, classification methods, such as decision trees, SVM, etc.)
SIFT
- 使用VLfeat的SIFT算法，在python平台进行SIFT特征提取和匹配(SIFT feature extraction and matching on Python platform based on SIFT algorithm of VLfeat)