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GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

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input size:224 224 scale :True rotation:True ![企业微信截图_73504744-30df-40bb-8ea3-b5a129353a1d](https://user-images.githubusercontent.com/14010625/115835959-7d7f6180-a449-11eb-9c81-098232cf8715.png)

在模板匹配的问题上,首先通过灰度匹配筛选出与模板相似的一些图片,可以使用GMS从这些图片中挑选出与模板最匹配的图片吗?? @JiawangBian

Hi, I am trying to use your GMS feature matcher in python. But, in your python example code, you import matchGMS by "from cv2.xfeatures2d import matchGMS". Could you please make...

How to use GPU under Python ? Thanks.

大神你好,我本来打算将你的算法应用在ORB-SLAM里面,但是ORB-SLAM的特征提取方法基于四叉树做了均匀处理,分散得比较开,这样的话GMS匹配貌似没有优势了。反而用opencv自带的ORB算法,由于opencv的特征点扎堆,GMS更能够筛选出正确的配对。 在SLAM中,我们更希望特征点分散来精准估计位姿,这种期望貌似和GMS的栅格统计原理是不兼容的,请问大神有解决思路吗???

When there are a lot of matches it is hard to see the correct matches. So instead of lines, I draw circles and write text (serial number of the match)...

I want to use GMS for Veri dataset where each vehicle has multiple images in different angles, cameras and lighting conditions. How can I use it for this scenario?