From: Jonathan Litt <littlitt@MIT.EDU>
To: cypherpunks@toad.com
Message Hash: 4659cc3b3d3508de89cff469a3d1e59802a5766b109233b53a548e8191c3c8a8
Message ID: <199604210013.UAA04209@hazelwood.mit.edu>
Reply To: <199604120630.XAA14255@dns1.noc.best.net>
UTC Datetime: 1996-04-21 04:57:49 UTC
Raw Date: Sun, 21 Apr 1996 12:57:49 +0800
From: Jonathan Litt <littlitt@MIT.EDU>
Date: Sun, 21 Apr 1996 12:57:49 +0800
To: cypherpunks@toad.com
Subject: Re: On computer face recognition:
In-Reply-To: <199604120630.XAA14255@dns1.noc.best.net>
Message-ID: <199604210013.UAA04209@hazelwood.mit.edu>
MIME-Version: 1.0
Content-Type: text/plain
geeman@best.com writes:
> Subject: Re: On computer face recognition:
> Date: Thu, 11 Apr 1996 23:30:49 -0700
>
> There was a piece, I _think_ in Scientific American, tho it might
> have been an AI journal, on face recognition by use of neural
> nets together with what were called "eigenface" images: These
> eigenfaces each have specific characteristics, which when
> combined together can closely approximate a specific face image.
> The target face was analyzed in terms of closeness-of-match to a
> small set of eigenfaces, on the order of 5 to 8, I think.
> Results of course were promising (else why write about it, eh?)
> if not excellent.
You are thinking of the article in Scientific American about the
Vision and Modeling group at the MIT Media Lab. For face recognition
stuff, check out:
http://www-white.media.mit.edu/vismod/demos/facerec/index.html
Crypto and privacy relevance? Lots, I imagine.
-jon
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