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From: webber@brandx.rutgers.edu (Webber)
Newsgroups: comp.graphics
Subject: Re: View Correlation
Message-ID: <608@brandx.rutgers.edu>
Date: Fri, 20-Nov-87 17:01:33 EST
Article-I.D.: brandx.608
Posted: Fri Nov 20 17:01:33 1987
Date-Received: Sun, 22-Nov-87 15:59:00 EST
References: <2234@utah-gr.UUCP>
Organization: Rutgers Univ., New Brunswick, N.J.
Lines: 29
Summary: a recent reference

In article <2234@utah-gr.UUCP>, bogart@utah-gr.UUCP (Rod G. Bogart) writes:
> I am attempting to solve a view correlation problem.  Given a set of
> 3D points and the 2D coords of each from a photo image, find all the
> parameters necessary to render (or raytrace) the points and get the same 2D
> coordinates.
> 
> For example, I have a photo of an object which I know to be a cube.  I
> can assign 3D coords to the corners of the box, then find the
> locations of each corner in the image.  I would like to throw all of
> that data at a black box, and get back the viewpoint, view direction,
> aspect ratio, etc.
> ...
> Any help out there?  I would greatly appreciate mail from anyone who
> has actually written code to solve the problem, but feel free to send any
> references, suggestions or ideas that seem appropriate.

ref: ``A Montage Method: the overlaying of the computer generated images
onto a background photograph,'' Eiharchiro Nakamae, Koichi Harada,
Takao Ishizaki, and Tomoyuki Nishita, SIGGRAPH'86 (Computer Graphics,
v20 #4, August 1986), August 18-22 1986, Dallas Texas, 207-214.

They have an appendix showing how to locate viewpoint (and other
camera features of a photo) using least squares.  The overall
application was to take a photograph of a town and a computer model of
a bridge or building and show people what the aesthetic impact of the
proposed construction will be on the town.


----------- BOB (webber@athos.rutgers.edu ; rutgers!athos.rutgers.edu!webber)