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Re: [cgal-discuss] Dense 3D Reconstruction


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  • From: Indika Tantrigoda <>
  • To:
  • Subject: Re: [cgal-discuss] Dense 3D Reconstruction
  • Date: Sat, 15 Aug 2009 21:09:39 +0530
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Hello,
Thank you very much for the information. The link you sent seems useful.
I should be able to work something out with this.

Regards,
Indika

2009/8/15 Bo Zhou <>
Indika Tantrigoda wrote:
He,
Thanks for the reply. I'll have a look at chapter 34. I did however go through the link you mentioned.
The problem is that the methods given in the link such as Possion surface reconstruction and using Octrees require
the surface normals. But these are not available, only the x,y,z co-ordinates of the points which forms the point cloud.

Is there any method that can be used when the surface normals are not present to construct a mesh ???

Regards,
Indika
 
2009/8/14 Bo Zhou < <mailto:>>


   Indika Tantrigoda wrote:

       Hello,
       I am in the middle of a research where I try to reconstruct a
       3D model based on photographs.
       So far I am able to obtain a sparse point could containing the
       points of the object. I have developed a point cloud
       viewer in XNA to view this point cloud data.
       What I would like to do is to generate a dense 3D model based
       on this point could. Would this be possible with CGAL, if so
       any advice would be very much appreciated.
       I recently found out about CGAL and my knowledge in using CGAL
       is very minimal (non actually).

       Thanks in advance.

       Regards,
       indika

   Hi,

   It seems that you want to reconstruct mesh from point cloud, you
   could have a look at

   *Chapter 34 3D Alpha Shapes*

   or
   to find some useful implementation here

   http://www.cs.jhu.edu/~misha/Code/
   <http://www.cs.jhu.edu/%7Emisha/Code/>


   Thanks.

   --    /**
   * Bo Zhou
   * Blog : http://jedimaster.cnblogs.com
   * Mobile : +86 13451813691
   */

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Hello,

I think it's not difficult to generate per-vertex normal by CGAL, you can generate a KDTree then lookup several nearest neighbors to calculate the normal. I remember to use ANN library to do spatial search because the CGAL's implementation is not fast enough.

The RBF implicit surface reconstruction method does not require normal, but I have not found a public sources, you will see something useful in this thesis here,

http://www.labri.fr/perso/preuter/research/thesis/index.html

Thanks.

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