[x3d-public] Computer Graphics "truth" data for learning vision.

[Joseph D Williams]

First a result, then its metadata, then the sampling and contextualization with other data and metadata for a new result, then the interpretation as metadata for the new resolution.



From: Don Brutzman
Sent: Wednesday, April 28, 2021 2:17 PM
To: Joseph D Williams; John Carlson
Cc: X3D Graphics public mailing list
Subject: Re: [x3d-public] Computer Graphics "truth" data for learning vision.

hmmm if we add metadata to characterize relationships between these inverses, maybe we can remember what we said about them too...

On 4/24/2021 10:41 AM, Joseph D Williams wrote:
>   * So computer graphics takes geometry/shapes and produces video.
>   * Computer vision takes videos and produces geometry/shapes.
> 
> All that is needed is the common context and ontology to transcode between the representations.
> 
> Figure out the style sheet, maybe as you go, then see what might appear from the media you sample and what might manifest in the space you are building.
> 
> *From: *John Carlson <mailto:yottzumm at gmail.com>
> *Sent: *Friday, April 23, 2021 9:15 PM
> *To: *X3D Graphics public mailing list <mailto:x3d-public at web3d.org>
> *Subject: *[x3d-public] Computer Graphics "truth" data for learning vision.
> 
> So computer graphics takes geometry/shapes and produces video.
> 
> Computer vision takes videos and produces geometry/shapes.
> 
> Can we take the computer graphics input and output data and help out the
> 
> computer vision people?
> 
> That is, output data from computer graphics is input to computer vision,
> 
> and the neural network is trained to produce computer graphics input data.
> 
> Google: geoffrey hinton GLOM
> 
> John
> 
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all the best, Don
-- 
Don Brutzman  Naval Postgraduate School, Code USW/Br       brutzman at nps.edu
Watkins 270,  MOVES Institute, Monterey CA 93943-5000 USA   +1.831.656.2149
X3D graphics, virtual worlds, navy robotics http://faculty.nps.edu/brutzman

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