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Proceedings Paper

Implications of VISIDEPtm For Artificial Intelligence Applications
Author(s): A Porter McLaurin; Edwin R Jones; LeConte Cathey
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Paper Abstract

VISIDF is a system for generating true three-dimensional displays on flat-screened devices. Hodges and McAllister, in their article, state clearly that this system is the autostereoscopic alternative to PLZT shutter systems for computer-generated graphic appli-cations. This opens the door to consideration of the system as a component of vision for artificial intelligence applications. In order to understand the potentials of VISIDEP one must, in fact, accept several fundamental assumptions. These are: 1. Perception is an intelligent activity rather than purely stimulus/response. 2. Binocular depth cues are of greater importance to accurate depth interpretation than monocular cues. 3. Depth perception does not require object identification. Each of these assumptions is essential to the application of VISIDEP research in practical operations requiring depth interpretation. The relationships between human vision and perception and the parallax induction generated by VISIDEP technology offer depth in real time to artificial intelligence. Through machine operations on incoming data, the perception of depth is generated in much the same way as the stereoptic data enter the human being, thus providing rapidly quantifiable depth interpretation which is very accurate, perhaps more accurate that human perception of depth. The analysis of a mechanical system in relationship to human approaches to depth perceptions offers the potential of many applications of visually competent artificial intelligence. An additional factor is that the system under discussion is user friendly for human operators as well as requiring minimal reconfiguration of existing equipment and relatively simple software.

Paper Details

Date Published: 6 April 1987
PDF: 5 pages
Proc. SPIE 0657, Applications of Artificial Intelligence IV, (6 April 1987); doi: 10.1117/12.938503
Show Author Affiliations
A Porter McLaurin, University of South Carolina (United States)
Edwin R Jones, University of South Carolina (United States)
LeConte Cathey, University of South Carolina (United States)

Published in SPIE Proceedings Vol. 0657:
Applications of Artificial Intelligence IV
John F. Gilmore, Editor(s)

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