Path: utzoo!attcan!utgpu!jarvis.csri.toronto.edu!rutgers!cs.utexas.edu!uunet!mcvax!ukc!etive!aipna!zql
From: zql@aipna.ed.ac.uk (Ziqung Li)
Newsgroups: comp.graphics
Subject: Geometric models wanted to Test 3-D VisionNets.
Message-ID: <1087@aipna.ed.ac.uk>
Date: 12 Jul 89 22:20:31 GMT
Organization: Dept. of AI, Edinburgh, UK
Lines: 30
References:

A computer vision system based on neural networks is being built.
It is to be called VisionNets. The VisionNets is built for 3-D object 
recognition and location from range image. It is expected 
to deal with free-form objects in a robot environment. It consists of 3 
levels of neural nets based on the Hopfield models:

	1. Low level net: from a range image to surface
	   curvature images (work finished, tested using
	   real range data, well)
	2. Intermediate level net: from the suface curvature
	   images to invariant surface descriptions in
	   attributed grapghs (work finished, tested using
	   real range data, well)
	3. High level net: from the invariant surface
	   descriptions to object classification and
	   location (programs go through, tested in the 
	   recognition phase, work; but not the location 
	   phase owing to the lack of a 3-D object model)

I am looking for geometric models to test the VisionNets as well
as the 3rd level of the Nets. Any information about available existing 
3-D object models, such as CAD models of free-form objects or any other 
explicit models, would be greatly appreciated.

Thanks in advance.


Z. Li
zql@aipna.ed.ac.uk
zql%uk.ac.edinburgh.aipna@ucl.cs.nss