Publication in EndNote Format

%0 Report
%@ 310
%A Hanson, Andrew J.
%T Overview Of The Image Understanding Testbed
%C 333 Ravenswood Ave., Menlo Park, CA 94025
%I AI Center, SRI International
%D 1983
%X The Image Understanding Testbed is a system of hardware and software that is
   designed to facilitate the integration, testing, and evaluation of implemented
   research concepts in machine vision. The system was developed by the Artificial
   Intelligence Center of SRI International under the joint sponsorship of the Defense
   Advanced Research Projects Agency (DARPA) and the Defense Mapping Agency (DMA).
   The primary purpose of the Image Understanding (IU) Testbed is to provide a means
   for transferring technology from the DARPA-sponsored IU research program to DMA
   and other organizations in the defense community. The approach taken to achieve
   this purpose has two components: 
 em The establishment of a uniform environment
   that will be as compatible as possible with the environments of research centers
   at universities participating in the IU program. Thus, organizations obtaining
   copies of the testbed can receive new results of ongoing research as they become
   available. em The acquisition, integration, testing, and evaluation of selected
   scene analysis techniques that represent mature examples of generic areas of research
   activity. These contributions from IU program participants will allow organizations
   with testbed copies to immediately begin investigating potential applications
   of IU technology to problems in automated cartography and other areas of scene
   analysis. 
 An important component of the DARPA IU research program is the
   development of image-understanding techniques that could be applied to automated
   cartography and military image interpretation tasks; this work forms the principal
   focus of the testbed project. A number of computer modules developed by participants
   in the IU program have been transported to the uniform testbed environment as
   a first step in the technology transfer process. These include systems written
   in UNIX C, MAINSAIL, and FRANZ LISP. Capabilities of the computer programs include
   segmentation, linear feature delineation, shape detection, stereo reconstruction,
   and rule-based recognition of classes of three-dimensional objects.
%U http://www.ai.sri.com/pubs/files/640.pdf