Creating 3D Objects from 3D Data

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To create a smooth 3D object from a set of 3D data points, users are exploring options for freeware applications that can handle complex shapes beyond simple surfaces. The discussion highlights the need for interpolation schemes to achieve smoothness, particularly when dealing with irregular shapes that do not conform to standard geometrical forms like spheres. Suggestions include using averaging techniques and surface fitting methods to approximate the desired shapes. For initial visualization, platforms like VPython are recommended for plotting 3D data. Additionally, triangulation algorithms may be useful for connecting sampled points and generating smoother approximations. The conversation emphasizes the challenge of working with complex data sets and the importance of selecting appropriate tools for effective visualization.
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I have a set of 3D data (i.e. a large file where each row contains three spatial coordinates) and I'd like to get a nice, smooth 3D object out of it. The objects are not surfaces, so it's not just plotting a function (i.e. to every (x,y) there exists more than one z).

Does anyone have an idea which (freeware) application can deal with this kind of stuff? Thanks in advance.
 
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Are you merely looking to effectively plot "pixels" or "voxels"?
To get something "smooth" out of a collection of points, you probably have to provide some kind of interpolation scheme.
 
Well, let's say I have some 1000 points which form (or should form) a ball, for example. What I want to get is a nice, smooth 3D ball. Is that possible?
 
You can try to run it through some kind of averaging scheme.
You could do a surface fit to a sphere to determine the center and radius.
 
yeah, but those objects are pretty crazy and really far away from spheres.
what kind of averaging schemes do you mean?
 
r4nd0m said:
Well, let's say I have some 1000 points which form (or should form) a ball, for example. What I want to get is a nice, smooth 3D ball. Is that possible?

r4nd0m said:
yeah, but those objects are pretty crazy and really far away from spheres.
what kind of averaging schemes do you mean?

What "objects" are you talking about?
Didn't you just ask about a ball (whose surface is a sphere)?

Here are some examples of interpolation:
http://en.wikipedia.org/wiki/Interpolation
 
:rolleyes:
The ball was just an example. The objects that I'm working with are much complicated.

I'm not really sure if interpolation is what I'm searching for.
 
How many points are you talking about?
For a simple platform to get a first look at the data,
try http://www.vpython.org
to plot pixels (as boxes) in 3-D.
 
It's about 30x30x30 points, more or less.
 
  • #10
First try my suggestion above.
If your points describe a surface, you could try some algorithm that triangulates it [which guesses how the sampled-points are possibly connected], then another algorithm that tries to find a smooth approximation of it... to be rendered on a finer grid.
 
  • #11
hi,
i want to plot a set of 3-D data.
i have 3 spatial co-ordinates (x, y, z) and then a physical quantity i have measured.
Is there a straight forward free plotting package i could use to plot this data?

thanks!
 

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