Hey Rob,

thanks for the good suggestion, i will try how far i can get away with a lower res this time. Besides that, i am running in massive bugs when working with different clouds, reading id's, jumping contextes.

querying closest point from a cloud to another (just to make sure, i am using only positions i really want) giving me soo much pain when it comes down to change context (per point array to object array, and then writing it back cloud). values change randomly, making no sense at all.. first time i am really pissed working in ice.
i will see if i can provide a repro scene.
if i calm down



Am 06.06.2012 um 11:35 schrieb Rob Chapman:

Hi Sebastian,

what are you trying to do with the 10 million+ point cloud?  closest
location to itself is going to be painful yes :)  when the point
clouds are reaching that high sometimes its best to have a similar
pointcloud around but with far fewer points. like say 1%.
Surprisingly it is a heck of a lot faster doing closest points lookup
from cloud A(10mill+) to a lowres cloud B (100k+)  than to itself.

So workflow is:-

take original cloud A at 10mil+ duplicate and reduce down to Cloud B
1% with Ice nodes 'test random probability' and 'delete point'
remember to freeze this cloud so the delete point is not live

do all closest location lookup and additional processing on Cloud B

when finished do closest location lookup cloud A to B to transfer
results back to A


Its not perfect solution for everything but in some cases with eg
lighting pointclouds or working out densities in ICE it beats waiting
around for those 10mill+ points to work themselves out!

you may be able to do something cleverer with only the one high res
pointcloud but for me this level of abstraction works out ok

cheers

Rob





On 6 June 2012 09:26, Sebastian Kowalski <[email protected]> wrote:
hey list,

i dont need to check all pointpositions for closest points, just a few. but
i cant figure out how to filter them out.
got this huge cloud (10.000.000+ points) and softimage processes neighbours
pts forever...

the closest point node wont accept arrays, and i am afraid we cant get a
filtered set

any ideas?

thanks in advance


ps. ive tried to just calculate distance between all points with just array resizing, this is fast, but i cant get near a million without skyrocketing
memory consumption, and therefore system freeze ups.



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