um - perhaps my "fully" was hubris. The things I looked up were:
* pareidolia
* SHA-256
* digests
* CCVPareidolia is the phenomenon of (usually humans) "seeing" objects
in inanimate things -faces in fabrics, horses or rocks or dinosaurs in clouds.
As I understand it SHA-256 is a way of mapping large amounts of data onto
expressions of fixed length ( and it is somehow -don't ask me how -used in
mining bitcoin)...these expressions are then somehow presented as visuals ( ?
Rob ?) which the CCV javascript based software searches for "faces". There's
lots of lovely rich reference here - the way these automatic processes are
corralled by Rob into creating "portraits" and the way Rob's rather
Wittgensteinian
"Artworks are proofs of aesthetic work"
wraps (in a kind of virtuous loop) the mechanism in a further reference to the
bitcoin thing...
I hope I have this right :)
warmest wishes
michael
________________________________
From: Annie Abrahams <[email protected]>
To: Michael Szpakowski <[email protected]>; NetBehaviour for networked
distributed creativity <[email protected]>
Sent: Sunday, January 19, 2014 12:36 PM
Subject: Re: [NetBehaviour] Facecoin
Maybe now Michael, you can explain it to me ....
On Sun, Jan 19, 2014 at 1:19 PM, Michael Szpakowski <[email protected]> wrote:
>Rob
>This is sleek and smart work! I like it very much ( although I did have to do
>quite a lot of googling to fully understand what you were doing...)
>best wishes
>
>michael
>
>
>
>
>________________________________
> From: Rob Myers <[email protected]>
>To: NetBehaviour for networked distributed creativity
><[email protected]>
>Sent: Saturday, January 18, 2014 9:36 PM
>Subject: [NetBehaviour] Facecoin
>
>
>http://robmyers.org/facecoin/
>
>Click here to run a visualization in your web browser:
>
>http://robmyers.org/wp-content/uploads/2014/01/facecoin.html
>
>Cryptocurrencies such as Bitcoin use a "proof of work" system to prevent
>abuse.
>
>Artworks are proofs of aesthetic work.
>
>Facecoin uses machine pareidolia as its proof of work. This is
>implemented by applying CCV’s JavaScript face detection algorithm to
>SHA-256 digests represented as greyscale pixel maps. An
>industrial-strength version would use OpenCV. Due to the limitations of
>face detection as implemented by these
libraries, the digest pixel map
>is upscaled and blurred to produce images of the size and kind that they
>can find faces in.
>
>The difficulty can be varied by altering the size and blur of the
>pixmap. Or by only allowing particular detected face bounds rectangles
>to be used a set number of times.
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