how to code a Filter for point cloud?

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Hi,
i have a list of data sets as point cloud created by a 3D scanners in a Text file, that i want to filter (Gaussian filter...etc.).

Each line of the text file contains one point defines by X, Y, and Z coordinates:

0.842999 1.25553 -0.4977
0.848978 1.25553 -0.4953
0.854956 1.25553 -0.4911
0.860935 1.25553 -0.4854
0.866914 1.25553 -0.4791
0.872892 1.25553 -0.4725
0.878871 1.25553 -0.4647
0.88485 1.25553 -0.4554
0.890829 1.25553 -0.4446
.
.
.

So i would like to code a Gaussian or a Savitzky-Golay filter in C, C++, VB>NET, VB, or VBA to filter this point cloud.

Can anybody help me?

Posted 18-May-14 10:24am

FrTamba

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Nelek 18-May-14 17:00pm

What have you tried?[^]

[no name] 18-May-14 18:07pm

Help you with what? Have you actually attempted to write any code for a Gaussian or a Savitzky-Golay filter? What is the problem that you have with your code?

Kamago 19-May-14 15:11pm

Hi,
I didn't write any code. I don't know where to begin. The Gaussian filter is defined in Wikipedia: http://en.wikipedia.org/wiki/Gaussian_filter. I only program with openGL a tool to display these points in 3D. I now want to code a filter to remove scanning errors.

Stefan_Lang 19-May-14 6:14am

I have no idea how these filters are defined, but I am confident that if I spent a little time looking up the definitions I could write the program. The real question is: why can't you?

Kamago 19-May-14 15:03pm

hi,
I can read in Wikipedia how the Gaussian filter is defined: http://en.wikipedia.org/wiki/Gaussian_filter. The definition is only for one and two dimension. So i don't know how i can use this filter for my point cloud. Many professional Programs use this filter for point cloud. i wonder i they code it.

Stefan_Lang 20-May-14 2:11am

Ok. Can't say that I have an idea where to start, but I am wondering what you filter those measured points against? As I understand it, the Gaussian filter would help you find one - and only one - point from repeated erroneous measurement. but by your description the measurements are from different points, not a single point, no? <br>
<br>
If so, there's nothing you can filter at all, at best you could try to find a surface that approximates these points with minimal error. This is an approximation problem, not a filter problem.

P.S.: Apparently the measured points all lie on a plane with orgin in (0,1.25553,0) and normal (0,1,0). Approximation solved.

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