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Proceedings Paper

Vision as Causal Activation and Association
Author(s): Bart Kosko; John S. Limm
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Paper Abstract

Vision is interpreted as embedding an image in a causal framework. Specifically, vision is decomposed into image recognition and image understanding. A fuzzy cognitive map (FCM)a fuzzy causal graph--is selected as the causal framework in which vision occurs. Image recognition is then interpreted as activating causal concept nodes on a FCM. Image understanding is interpreted as the causal association, via FCM edge functions, induced by recognized/activated causal nodes. Vision therefore is represented as the spatiotemporal process of spreading activation and decaying oscillation or resonance on a FCM. An explicit dynamical model of vision is introduced and an optical implementation is described.

Paper Details

Date Published: 11 December 1985
PDF: 6 pages
Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950789
Show Author Affiliations
Bart Kosko, VERAC, Incorporated (United States)
John S. Limm, VERAC, Incorporated (United States)


Published in SPIE Proceedings Vol. 0579:
Intelligent Robots and Computer Vision IV
David P. Casasent, Editor(s)

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