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vlfeat-0.9.4.1.tar.gz
- The VLFeat open source library implements popular computer vision algorithms including SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift. It is written in C for efficiency and compatibility, with interfa
vlfeat-0.9.4-bin.tar
- mser,sift,etc for extracting features of images
feature-extract
- 几个大牛对集成了国内外特征提取最前沿的算法，特征提取，DOG,HARRIS,HARRIS-LAPLACE,HARRIS-AFFINE,MSER.描述符，SIFT,AFFINE-SIFT,GLOH.经测试，速度快，描述符准确。-Integration of feature extraction algorithms from several expert of domestic and international, feature extraction： DOG, HARRIS, HARRIS-L
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-0.9.13-bin.tar
- 特别牛的SIFT实现，VLFeat 0.9.13，代码特别清晰。C语言编写，有matlab接口。还包括了SIFT, MSER, k-means, hierarchical k-means等相关算法。-A library implements popular computer vision algorithms including SIFT, MSER, k-means, hierarchical k-means.
improved-MSER-algorithm-
- 本文在比较多种仿射不变性区域的基础上，选取最大稳定极值区域(MSER)对图像内容进行分割和提取，并通过构造仿射不变量的方法，对提取出来的区域进行规整化，进而从规整化的区域中提取SIFT描述子，然后根据匹配目标的需要进行特征的组合、变换，以形成易于匹配、稳定性好的特征向量，从而把图像匹配问题转化为特征的匹配问题 通过改进的K均值算法对特征向量进行聚类，聚类中心作为图像的视觉关键词:利用视觉关键词的思想，把文本检索技术领域的方法移植到图像检索应用上；并研究视觉关键词之间的空间约束关系。-Most r
demo_ASIFT_src
- 考虑了放射变换因素，比sift有更好的效果，但是速度由于增加了旋转的考虑会变慢很多！-A fully affine invariant image comparison method, Affine-SIFT (ASIFT) is introduced. While SIFT is fully invariant with respect to only four parameters namely zoom, rotation and translation, the new method t
OpencvProject
- 目前网上用MSER做图像配准的代码资料较少，特上传此代码做学习交流。欢迎业内同仁共同讨论研究，本代码采用opencv自带的mser特征提取方法，并对该特征进行sift椭圆表达，在配准时使用ransac算法进行提纯。因为时间有限，未考虑LM光束法平差约束，日后进行添加。-MSER
FeatureExtract
- 基于OPENCV的多种特征提取算法,包括SIFT，SURF，MSER-OPENCV based on a variety of feature extraction algorithm
FraudRecognition
- 基于OPENCV的多种特征提取、描述、匹配算法,包括SIFT，SURF，MSER-OPENCV based on a variety of feature extraction algorithm
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-0.9.17-bin.tar
- The VLFeat open source library ，可以用来进行HOG,SIFT等，这是最新版的VLFeat-The VLFeat open source library implements popular computer vision algorithms including HOG, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels
vlfeat-0.9.19-bin.tar
- SIFT，SURF，MSER函数库,包括MATLAB和C++源程序-SIFT SURF MSER function
vlfeat-0.9.19.tar
- 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, agglomera
vlfeat-0.9.20.tar
- 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 un
vlfeat-0.9.20.tar
- this is mser and sift algorithms in vlfeat