CGAL users discussion list

[Andreas Fabri <>]

Hi Marc,

The algorithm first computes a tetrahedrization of the 3D space
in a bounding sphere of your point  cloud.  If you have input
points that are very close, there will be very small tetrahedra,
so my guess is that even before the solver is used you run
out of memory.  First run a point set simplification which
clusters too close points.

andreas


On 22/06/2011 10:38, Marc Klopfenstein wrote:
> Dear CGAL developers,
>
> I’m using Poisson Surface Reconstruction from Point Sets and it works almost
> well.
> I need to have control over the reconstruction error for my application.  If
> I understand correctly the documentation the error depends on:
> -       Surface Approximation error * average spacing.
> -       The number of point
> Is that true?
>
> On other problem is a crash of my application when the point set have more
> the 160k point.
> In the CGAL Manual there is written “The Poisson implicit function
> computation has a memory peak when solving the Poisson linear system using
> the Taucs sparse linear solver. For large point sets, it may fail to
> allocate big chunks of memory due to memory fragmentation.
> The exact limit depends of the allocation scheme used by the compiler. In
> our experiments, a PC running Linux 32 bits can reconstruct the Bimba con
> Nastrino point set up to 1.6M points while Windows 32 bits is limited to
> 1.3M points.”
> Why did I have such a gap between my application (160k points) and your
> (1.3M points)? Did I made a bug or is it due to Taucs?  To find that out, I
> want to test my application whit the Bimba con Nastrino point set, so I can
> compare your results and mine. It is possible to send me the Bimba con
> Nastrino point set?
>
> Thanks,
>
> Marc
>
>
> --
> View this message in context: 
> http://cgal-discuss.949826.n4.nabble.com/CGAL-Poisson-Surface-Reconstruction-tp3616368p3616368.html
> Sent from the cgal-discuss mailing list archive at Nabble.com.


--
Andreas Fabri, PhD
Chief Officer, GeometryFactory
Editor, The CGAL Project

phone: +33.492.954.912    skype: andreas.fabri