搜索资源列表
0305_mser
- mser算法（Maximally Stable Extremal Regions）代码，非文章作者写的，但是还不错，matlab实现。
mex
- MSER区域提取,帮助进行图像特定目标检测-MSER regional extraction, help with image specific target detection
mser
- 关于MSER的一些有意义的文章和源代码，很值得大家参考！会有一些帮助的！-MSER meaningful on a number of articles and source code, is worth your consideration! There will be some help!
componentTree.tar
- 比国交经典的MSER配准算法论文可以很好的解决图像配准问题，值得研究！-Than cross-country classic papers MSER registration algorithm can solve image registration problem, worthy of study!
mser
- 一种计算机视觉检测的新方法，值得研究！不要错过啊，是比较新的-Detection of a new computer vision approach, worthy of study! Do not miss ah is a relatively new
matas-bmvc02
- MSER配准算法的一篇经典文章，很是执得研究与思考的。大家可以传阅一下-MSER Registration Algorithm of a classic article, it is a research and executive thinking. We can circulate a click
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
MSER
- 能提取出具有仿射不变性的MSER区域，且利用提取出的区域进行匹配，该方法鲁棒性很好-Can be extracted with the affine invariance of the MSER region, and the use of extracted region matching, robustness of the method a good
vlfeat-0.9.4-bin.tar
- mser,sift,etc for extracting features of images
mser-0.5
- implementation of mser region detector
mser-0.5.tar
- C AND MATLAB CODE FOR MAX EXTREMAL REGION
vlfeat-0.9.4.1.tar
- 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 a
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
mser
- 有关mser的相关学习资料。。有源代码。-Relevant learning materials related to mser. . Source code.
mser
- 基于Matlab实现了图像MSER仿射不变特征的提取-Matlab implementation of image-based affine invariant feature extraction MSER
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.
Based-on-MSER-detection-and-tracking
- 将在通过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-In a variety of affine invariance by comparing regional basis, select the maximum stable extremal region (MSER) for image segmentation and content extraction
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
mser-0.5.tar
- this is a mser algorithm
vlfeat-0.9.20.tar
- this is mser and sift algorithms in vlfeat