Share Email Print

Proceedings Paper

Issues central to a useful image understanding environment
Author(s): J. Ross Beveridge; Bruce A. Draper; Allen R. Hanson; Edward M. Riseman
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A recent DARPA initiative has sparked interested in software environments for computer vision. The goal is a single environment to support both basic research and technology transfer. This paper lays out six fundamental attributes such a system must possess: (1) support for both C and Lisp, (2) extensibility, (3) data sharing, (4) data query facilities tailored to vision, (5) graphics, and (6) code sharing. The first three attributes fundamentally constrain the system design. Support for both C and Lisp demands some form of database or data-store for passing data between languages. Extensibility demands that system support facilities, such as spatial retrieval of data, be readily extended to new user-defined datatypes. Finally, data sharing demands that data saved by one user, including data of a user-defined type, must be readable by another user.

Paper Details

Date Published: 1 April 1992
PDF: 10 pages
Proc. SPIE 1623, The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges, (1 April 1992); doi: 10.1117/12.58052
Show Author Affiliations
J. Ross Beveridge, Univ. of Massachusetts (United States)
Bruce A. Draper, Univ. of Massachusetts (United States)
Allen R. Hanson, Univ. of Massachusetts (United States)
Edward M. Riseman, Univ. of Massachusetts (United States)

Published in SPIE Proceedings Vol. 1623:
The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges

© SPIE. Terms of Use
Back to Top