Jaesik Park

Technically yes. You can check the data we used in this repo. Check out [here](https://github.com/IntelVCL/FastGlobalRegistration/tree/master/dataset)

I am not sure whether I completely understood your question, but let me try one by one. > How can I pick up match-point from two different cloud? I try...

Hi gawela, Yes, FPFH is not perfect and suffers from noisy 3D point clouds. In the existence of severe noise, the general advice is to increase the radius for surface...

Hi. What you need to do would be make a interface function that replaces 'ReadFeature' function. The function will copy your data into ``` typedef vector Points; typedef vector Feature;...

Based on the result you got, I think your xyz vector seems correctly set, but you may need to check your feature vectors. The erroneous line seems to be ```...

I think you can tune parameters for point cloud downsampling and feature extraction. We recommend 1:2:5 for radius of downsampling voxel size, normal estimation, and feature estimation. For performance, you...

I think the question is not very clear to me as I don't have any information about your GICP application. I can give you following comments: - Note that our...

Based on the log you provide, you are using point cloud scale normalization, but you are using too large radius for downsampling. As we mentioned in README.md, you would need...

Hi Tami > I conducted an experiment of 12 tests, each test contains scene + template, each 3D Model can be represented as polygon mesh or point cloud. I think...

Hi Vkee, Fast global matching utilizes local 3D feature. I guess the provided bottle_full.pcd is laser scanline. This seems to be too thin to extract distinctive local feature that can...