Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.2 9/18/84; site cornell.UUCP Path: utzoo!watmath!clyde!cbosgd!ihnp4!houxm!vax135!cornell!jqj From: jqj@cornell.UUCP (J Q Johnson) Newsgroups: net.periphs,net.research,net.graphics Subject: Re: volumetric displays Message-ID: <816@cornell.UUCP> Date: Mon, 30-Sep-85 09:28:28 EDT Article-I.D.: cornell.816 Posted: Mon Sep 30 09:28:28 1985 Date-Received: Wed, 2-Oct-85 07:25:58 EDT References: <2@unc.unc.UUCP> <486@olivee.UUCP> <394@bbncc5.UUCP> <306@bdaemon.UUCP> Reply-To: jqj@cornell.UUCP (J Q Johnson) Distribution: net Organization: Cornell Univ. CS Dept. Lines: 12 Xref: watmath net.periphs:875 net.research:241 net.graphics:1156 Although it might seem that a 3d display requires bandwidth o(n^3) for resolution n, in fact a great deal of data compression is possible. We don't actually see in 3d, but rather in 2-1/2 d or so (who cares about the inside of a solid?). Consider a representation that encodes only range data at each point on a 2d display -- it requires bandwidth o(n^2*log(n)). Seems to me that most 3d images should be encodable with a small constant multiple of the range data (e.g. as up to k visible z values at each x,y position; by continuity, the k is not a function of the resolution). What representation actually achieves o(n^2*log(n)) for a 3d display? Well, how about a hologram? Brought to you by Super Global Mega Corp .com