Publication in BibTeX Format
@TECHREPORT{AICPub640:1983,
AUTHOR={Hanson, Andrew J.},
TITLE={Overview Of The Image Understanding Testbed},
ADDRESS={333 Ravenswood Ave., Menlo Park, CA 94025},
INSTITUTION={AI Center, SRI International},
MONTH={Oct},
NUMBER={310},
YEAR={1983},
ABSTRACT={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.}
}