Surface Reconstruction using Implicit B-Splines
Using Implicit B-Splines for Surface Reconstruction out of 3D point clouds.
Please cite the following paper, in case of using the code:
Rouhani M. and Sappa A.D., Implicit B-spline fitting using the 3L algorithm, IEEE Conference on on Image Processing (ICIP'11), 2011.
Cite As
Mohammad Rouhani (2021). Surface Reconstruction using Implicit B-Splines (https://www.mathworks.com/matlabcentral/fileexchange/44654-surface-reconstruction-using-implicit-b-splines), MATLAB Central File Exchange. Retrieved .
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here function [f index Buvw] =BSpline3D(P,x,y,z)
M=size(P,1); N=size(P,2); O=size(P,3);
stepX=1/(M-3); stepY=1/(N-3); stepZ=1/(O-3);
i=floor(x/stepX)+1;
j=floor(y/stepY)+1;
k=floor(z/stepZ)+1;
u=x/stepX-i+1;
v=y/stepY-j+1;
w=z/stepZ-k+1;
%index=[i j];
f=0; h=0;
B=[-1 3 -3 1; 3 -6 3 0; -3 0 3 0; 1 4 1 0]/6;
bu=[u.^3, u.^2,u ,1]*B;
bv=[v^3 v^2 v 1]*B;
bw=[w^3 w^2 w 1]*B;
when i try to use the duck example and use it the data in .mat
bu=[u.^3, u.^2,u ,1]*B;
I did:
x=model(:,1)
y=model(:,2)
z=model(:,3)
and then when i was going to use
BSpline3D(P,x,y,z)
bu=[u.^3, u.^2,u ,1]*B;
>> bu=[u.^3, u.^2,u ,1]*B;
Error using horzcat
Dimensions of arrays being concatenated are not consistent.
What should I do, put bu=[u.^3, u.^2,u ,[ 1;1;1;1..... ]] or bu=[u.^3, u.^2,u ,[ 1;0;0;0..... ]]?
and this should be [u^3, u^2,u ,1] or this [u.^3, u.^2,u ,1]?
I find a lot of errors.... when i am only going to input a cloud points in 3D as input....
The indices of the triangular mesh start from 0. Unknown error cause topology changing for just a sphere input. Pretty slow for only 600 points.
Another "fast" version has unknown inputs.
Face indices for some reason are required to start from zero (Matlab's default is 1), variables in BSpline3D are not set causing avoidable errors for some inputs and the reconstructed surface does not respect the original topology (open when the original was closed).
Thank you very much sir for your fantastic work. I am PhD student. Actually, I want to save your surface as IGES so that I can work on it in Catia. Please help in this regard.
I solved the usage for your own data set. Here is the code I am using:
%(x,y,z) is my point-cloud
N = 1000; %for large set of data -> use every N-th point
tri = delaunay(x(1:N:end),y(1:N:end));
tri = tri-1; %needed for this code
%normalization
MinX = min(x)-0.1*abs(min(x));
MaxX = max(x)+0.1*abs(min(x));
MinY = min(y)-0.1*abs(min(y));
MaxY = max(y)+0.1*abs(min(y));
MinZ = min(z)-0.1*abs(min(z));
MaxZ = max(z)+0.1*abs(min(z));
xn = x; yn = y; zn = z;
xn = (xn-MinX)/((MaxX-MinX));
yn = (yn-MinY)/((MaxY-MinY));
zn = (zn-MinZ)/((MaxZ-MinZ));
L=10;
P=IBSL3_3DTRI(.01,20,L,[xn(1:N:end),yn(1:N:end),zn(1:N:end)], tri);
IBSLevelSurf(P,[.5 .6 .8],0.03);
I have my own 3D data set. How do I transform it into needed input?
great
Result looks nice. But where is the code to get from 3d points to the needed input?
I have the same question as Thomas regarding how the triangulation is obtained
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One may try the code with the public data sets provided by aim@shape:
http://shapes.aimatshape.net/viewmodels.php
The error I am receiving is this: ??? Subscripted assignment dimension mismatch.
Error in ==> NewOffset at 38
tri_normal(i,:)=cross(P(2,:)-P(1,:),P(3,:)-P(2,:));
Error in ==> IBSL3_3DTRI at 32
[s,t]=NewOffset(r,pnt, tri); hold on;
My data set is constructed of a 5778x3 matrix and I used delaunay triangulation to make a 33514x4 matrix. I don't understand where you are getting an n x 3 triangulation matrix.
My data is normalized to the unit cube as well, so I am curious to know how more of the functions work.
Thanks again!
I read your paper and am very interested in using this code, however I am a little confused on using and obtaining the inputs for the functions. It doesn't specify what method you used for triangulation, etc. Is there any additional documentation or tutorials on how to use the functions?