3D cloud viewing?

I have a file that contains a bunch of points with their coordinates x, y, z. I am looking for a simple viewer where I can download the data of this point and view it. It is important for me to check the depth of the generated cloud. Can someone point out a viewer with a low weight with minimal installation costs for this?

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I used MeshLab and it worked for me. IIRC uses your average Windows installer.

You can also try CyArk viewer (Java applet) or Leica Cyclone - I have not used any.

Of course, if your data format is not standard, it may not be able to read it.

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R + is an open source statistical program that I used for this specific purpose. This can only be done in a few lines of code.

First add the rgl and plotrix libraries.
Enter the following code:

pcd <- read.table(file.choose(),sep="",skip=10) names(pcd) <- c("x","y","z") plot3d(pcd$x,pcd$y,pcd$z,col=color.scale(pcd$z,c(0,1,1),c(1,1,0),c(1,0,1))) 

Where pcd is the file type (if I remember correctly), the first ten lines are skipped because they are the header ( skip=10 ), and sep"" represents the delimiter used in the file. This last line of code displays the dots and sets the color based on depth.

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I vote for Paraview . I am shocked that no one mentioned this before I did it. No matter which OS you use, Windows, Mac OS or Linux, you can use it without any (big) problems. (You know that software always has bugs)

Meshlab is good too. In fact, you can easily convert the file format to make sure that they can be used in different programs if you can learn Python.

I really believe that someone has already done this. For example..off (Meshlab format) in .vtk (Paraview format), for example one .

Update1: Most visualization programs are user-friendly, so maybe the problem is how to convert the source data to a specified format that can be used in these viewers. This can be useful if there is sample data that you have.

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matlab is a good tool for visualizing your pcl, especially for further analysis.

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Source: https://habr.com/ru/post/1342696/


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