Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!uunet!husc6!hao!boulder!sunybcs!rutgers!iuvax!pur-ee!uiucdcs!uiucdcsp!gillies From: gillies@uiucdcsp.cs.uiuc.edu Newsgroups: comp.sys.mac Subject: Re: 3-D Graphics Question Message-ID: <76000052@uiucdcsp> Date: Fri, 27-Nov-87 12:34:00 EST Article-I.D.: uiucdcsp.76000052 Posted: Fri Nov 27 12:34:00 1987 Date-Received: Mon, 30-Nov-87 01:27:09 EST References: <1259@saturn.ucsc.edu> Lines: 20 Nf-ID: #R:saturn.ucsc.edu:1259:uiucdcsp:76000052:000:922 Nf-From: uiucdcsp.cs.uiuc.edu!gillies Nov 27 11:34:00 1987 One known way to get a good 3-D terrain rendering is to start with two images taken at a fixed difference apart. Then you can write image processing algorithms that can correlate similarities in each image and give you a 3-D rendering. This is possible for LandSAT photos because the LandSAT satellite takes many pictures, at known, regular intervals. However, if you only have *one* image of an african village, or even if you have two but they were *taken inaccurately* (e.g. the camera wasn't perpendicular to the ground, or you don't know how far apart they were taken), then the problem is likely to be unsolvable. There may be commercial companies that may vend this type of image processing. Or you could seek out a university with a professor in image processing (C.S. or optics/physics dept) to find out more information. Don Gillies {ihnp4!uiucdcs!gillies} U of Illinois {gillies@p.cs.uiuc.edu}