Issues central to a useful image understanding environment

J. Ross Beveridge; Bruce A. Draper; Allen R. Hanson; Edward M. Riseman

doi:10.1117/12.58052

1 April 1992 Issues central to a useful image understanding environment

J. Ross Beveridge, Bruce A. Draper, Allen R. Hanson, Edward M. Riseman

Proceedings Volume 1623, The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges; (1992) https://doi.org/10.1117/12.58052
Event: The 20th AIPR Workshop, 1991, McLean, VA, United States

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.

Citation Download Citation

J. Ross Beveridge, Bruce A. Draper, Allen R. Hanson, and Edward M. Riseman "Issues central to a useful image understanding environment", Proc. SPIE 1623, The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges, (1 April 1992); https://doi.org/10.1117/12.58052

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KEYWORDS

Databases

Image segmentation

Visualization

Computer vision technology

Image understanding

Data modeling

Machine vision

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