Closed dimtzionas closed 9 years ago
you can try back porting marching cubes algorithm from pcl.
Thanks for the tip!
Do you think that following pcl would be more effective, or also other options like https://github.com/sdmiller/cpu_tsdf could be of use? This project is independent from pcl (thus also lightweight) and comes with a built-in marching cubes method in order exactly to get a mesh out of the tsdf.
I just proposed one of possible directions. Backport to the kinfu_rmake == coding. I am not familiar with the library. Perhaps you may try to download tsdf from gpu and convert to the cpu_tsdf format. I don't know which way is better for you.
Cool, thanks for the advice. I'm closing this issue down, and when I come up with a solution I'll post an update/advice for future use by others.
Hi Nerel,
You suggested to use marching cubes algorithm from pcl to store the final mesh. I am trying to use the method marchingCubes.run() from kinfu in pcl, but I am having troubles to figure out which variable from kinfu_remake should I send as first parameter to marchingCubes.run(). They receive a "const TsdfVolume& tsdf", therefore I tried to send kinfu.tsdf(), but since the types dont match, it is not possible to do it. Could you please give me a hint about it?
Thanks,
Hi all,
This is not really an issue, rather a question I have. The source-code works really nice, thanks for open-sourcing this. However there is the need to store the final mesh that is created during the reconstruction. There is a rather tedious way to do this (some people extract the pointcloud out of the tsdf with
fetchCloud
, and then use meshlab to filter and mesh these points), but I was wondering if you have any advice on a better way to do this.Thanks!