Also the bounding box seems to cause weird behavior sometimes, where the point 
cloud seems to be scaled in depth...

Am 05.12.2012 um 00:25 schrieb Frank Rueter:

> you sure you got the correct camera connected to DeepToPoints?
> Every time I have trouble with this it turns out the camera I'm using is not 
> the same as the one the deep pass was rendered with.
> 
> 
> On 5/12/12 4:48 AM, Henning Glabbart wrote:
>> Sorry, I missed your post originally, but I don't think it's scene units 
>> because the set geo was exported from the same Houdini scene as the deep 
>> renders. So surely if they match up in Houdini they should match up in Nuke 
>> if scale was dependent on scene units alone, right?
>> 
>> Thanks, though. Any more ideas?
>> 
>> 
>> 
>> Message: 8
>> Date: Fri, 30 Nov 2012 13:56:18 -0500
>> From: Colin Doncaster <[email protected]>
>> Subject: Re: [Nuke-users] Deep to points...
>> To: Nuke user discussion <[email protected]>
>> Message-ID: <[email protected]>
>> Content-Type: text/plain; charset=us-ascii
>> 
>> Scene units?  What are they using in Houdini vs. Nuke?
>> 
>> On 2012-11-30, at 1:34 PM, Henning Glabbart <[email protected]> wrote:
>> 
>>> Hi everyone,
>>> 
>>> this is my first post on the mailing list so please don't yell at me if I'm 
>>> not following the proper protocol :)
>>> 
>>> Anyway, I have a question about deep compositing, more specifically about 
>>> the deep to points node. I have a deep render and the deep to points node 
>>> creates a beautiful point cloud. The problem is that the scale of the point 
>>> cloud doesn't match the scale of the set geo that I have received from 3D. 
>>> It is actually something like ten to twenty times larger than the geo. Is 
>>> there anything I can do on the compositing side to make point cloud and geo 
>>> match up? Or is it a render setting in 3D? The deep files are .rat files 
>>> straight out of Houdini but my Houdini TD claims he doesn't have any 
>>> control over how the deep files get rendered/generated other than ticking a 
>>> box that says "deep".
>>> 
>>> Thanks in advance!
>>> 
>>> 
>>> Henning_______________________________________________
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>> 
> 
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