Hi there,
I am dealing with some very noisy point clouds (due to the use of an underwater 3D sonar scanner) and I have attempted to used VRMesh though it hasn't given any promising results. The data seems to be to noisy for VRMesh to be of any use.
Is there a method which with you would recommend in de-noising the point cloud. I have attached a point cloud file of a test scan (of cinderblocks) if anyone would like a better picture of the situation.
https://drive.google.com/file/d/0B_se-U ... sp=sharing
Thanks!
Best way to denoise point cloud before mesh
-
- I have made 10-20 posts
- Posts: 10
- Joined: Wed Jun 01, 2016 7:45 pm
- 7
- Full Name: Patrick Combe
- Company Details: Duke University
- Company Position Title: Research Assistant and Student
- Country: US
- Linkedin Profile: No
- CWickersham
- I have made 60-70 posts
- Posts: 61
- Joined: Mon Jan 11, 2016 3:19 pm
- 8
- Full Name: Caleb Wickersham
- Company Details: EMJ Corporation
- Company Position Title: Virtual Construction Engineer
- Country: United States
Re: Best way to denoise point cloud before mesh
If the data is like the data you uploaded to drive, I'm not sure a promising mesh is going to come out of this. The issue is that not only is it noisy, but the data is sparse. If it were just noisy I would recommend filtering, but that won't work well here. Since it is sparse, it might be possible to import the point cloud 4 times, shift one slightly in the x, then slightly in the y, then slightly in the z, and one in original position. Then run a filter to "average out" the data.
Otherwise I might suggest using other software for your surface reconstruction such as CloudCompare or Meshlab
Otherwise I might suggest using other software for your surface reconstruction such as CloudCompare or Meshlab
Caleb Wickersham
Virtual Construction Engineer at EMJ Corporation
emjcorp.com
Virtual Construction Engineer at EMJ Corporation
emjcorp.com
- danielgm
- V.I.P Member
- Posts: 195
- Joined: Thu Jun 20, 2013 10:45 am
- 10
- Full Name: Daniel Girardeau-Montaut
- Company Details: CloudCompare
- Company Position Title: Administrator
- Country: France
- Linkedin Profile: Yes
- Location: Grenoble, France
- Has thanked: 11 times
- Been thanked: 34 times
- Contact:
Re: Best way to denoise point cloud before mesh
I gave it a try in CloudCompare, and man this is challenging
1) Original cloud 2) Tools > Clean > Noise filter
The idea is to fit a plane locally (around each point) and remove the points that are too far from that plane. As the level of noise of this cloud is huge, I used a quite big radius (0.05) and a very low threshold distance (0.25 sigma). Warning, the bigger the radius is and the more it will 'eat' the corners.
3) Tools > Clean > SOR filter
Just to remove the remaining bits of noise.
4) Then you need to compute normals on this cloud (and that's quite hard as it's very sparse once denoised - once again I had to use a big radius around 0.1 and a big number of neighbors for the MST-based orientation - 24 if I remember well).
5) Evenutally I was able to use the Poisson Surface Reconstruction plugin:
1) Original cloud 2) Tools > Clean > Noise filter
The idea is to fit a plane locally (around each point) and remove the points that are too far from that plane. As the level of noise of this cloud is huge, I used a quite big radius (0.05) and a very low threshold distance (0.25 sigma). Warning, the bigger the radius is and the more it will 'eat' the corners.
3) Tools > Clean > SOR filter
Just to remove the remaining bits of noise.
4) Then you need to compute normals on this cloud (and that's quite hard as it's very sparse once denoised - once again I had to use a big radius around 0.1 and a big number of neighbors for the MST-based orientation - 24 if I remember well).
5) Evenutally I was able to use the Poisson Surface Reconstruction plugin:
You do not have the required permissions to view the files attached to this post.
-
- I have made 10-20 posts
- Posts: 10
- Joined: Wed Jun 01, 2016 7:45 pm
- 7
- Full Name: Patrick Combe
- Company Details: Duke University
- Company Position Title: Research Assistant and Student
- Country: US
- Linkedin Profile: No
Re: Best way to denoise point cloud before mesh
danielgm wrote:I gave it a try in CloudCompare, and man this is challenging
1) Original cloud 2) Tools > Clean > Noise filter
The idea is to fit a plane locally (around each point) and remove the points that are too far from that plane. As the level of noise of this cloud is huge, I used a quite big radius (0.05) and a very low threshold distance (0.25 sigma). Warning, the bigger the radius is and the more it will 'eat' the corners.
3) Tools > Clean > SOR filter
Just to remove the remaining bits of noise.
4) Then you need to compute normals on this cloud (and that's quite hard as it's very sparse once denoised - once again I had to use a big radius around 0.1 and a big number of neighbors for the MST-based orientation - 24 if I remember well).
5) Evenutally I was able to use the Poisson Surface Reconstruction plugin:
Thank you! That looks very promising and I shall give it a go.