You'll need to use a two step approach. Use the "Point Volume
Interpolator" generate a 3D volume from your point cloud and then use
the "Resample With DataSet" with "Input" set to the "Point Volume
Interpolator" and the "Source" set to your 3D geometry to resample to.

Utkarsh

On Tue, Oct 11, 2016 at 1:48 AM, stephaneンドング メファネ
<steph...@fujielectric.com> wrote:
> Hello,
>
> I have a point cloud data set with scalars that I need to re-sample on a 3d
> geometry.
> the data set is not spatially uniform (hollow geometry) but I need a really
> fine re-sampling grid in order to get results close to the original data-set
> after interpolation on the 3d volume.
> is it possible to use a customized sampling grid in plugins like Point
> Volume Interpolator and Gaussian re-sampling? I need a fine grid only where
> the is geometry, so the default grid-box is using a lot of memory when
> increasing the grid resolution.
>
> Ndong-Mefane Stephane, Dr.Eng
> Basic Design Sec.
> Steam Turbine Dept.
> Kawasaki Factory
>
> Fuji Electric Co., Ltd
> 1-1, Tanabeshinden, Kawasaki-ku,
> Kawasaki-city 210-9530, Japan
> Phone: +81-44-329-2155
> Fax: +81-44-329-2394
>
>
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