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Proceedings Paper

Human vision simulation for evaluation of enhanced and synthetic vision systems
Author(s): Theodore J. Doll; Richard Home; Kevin J. Cooke; Anthony A. Wasilewski; David T. Sheerin; Morris C. Hetzler
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Paper Abstract

One of the key problems in developing Enhanced and Synthetic Vision Systems is evaluating their effectiveness in enhancing human visual performance. A validated simulation of human vision would provide a means of avoiding costly and time-consuming testing of human observers. We describe an image-based simulation of human visual search, detection, and identification, and efforts to further validate and refine this simulation. One of the advantages of an image-based simulation is that it can predict performance for exactly the same visual stimuli seen by human operators. This makes it possible to assess aspects of the imagery, such as particular types and amounts of background clutter and sensor distortions, that are not usually considered in non-image based models. We present two validation studies - one showing that the simulation accurately predicts human color discrimination, and a second showing that it produces probabilities of detection (Pd's) that closely match Blackwell-type human threshold data.

Paper Details

Date Published: 23 September 2003
PDF: 13 pages
Proc. SPIE 5081, Enhanced and Synthetic Vision 2003, (23 September 2003); doi: 10.1117/12.487757
Show Author Affiliations
Theodore J. Doll, Georgia Institute of Technology (United States)
Richard Home, QinetiQ (United Kingdom)
Kevin J. Cooke, BAE SYSTEMS (United Kingdom)
Anthony A. Wasilewski, Georgia Institute of Technology (United States)
David T. Sheerin, QinetiQ (United Kingdom)
Morris C. Hetzler, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 5081:
Enhanced and Synthetic Vision 2003
Jacques G. Verly, Editor(s)

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