3d cloud viewer?

I have a file which contains a bunch of points with their x,y, z locations.I am looking for a simple viewer where in I can load this point data and view it .Rotation is essential for me to check the depth of the开发者_如何学Go cloud being generated .Can someone point out a light weight viewer with minimum installation overhead for this?

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

You could also try CyArk viewer (a Java applet), or Leica Cyclone -- I haven't used either one.

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

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R+ is an open source statistical program that I have used for this exact purpose. It can be accomplished in only 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 type of file (if I remember correctly), the first ten lines are skipped as they are a header (skip=10) and sep"" represents the delimiter used in the file. This last line of code plots the points and sets the color based upon depth.

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

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

I do believe someones has already done it. Eg. .off (Meshlab format) to .vtk(Paraview format), like this one.

Update1: Most visualization softwares are user-friendly, so maybe the problem you have is mainly about how to convert the source data you have to the specified format which can be used in these viewers. It may be helpful if there is an example of data you have.

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matlab is a quite good tool to visualize your pcl, expecially for further analysis.