1 February 1992 Knowledge representation in a guided globular reasoning framework (Part I)
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The processing necessary for high level vision is considered here. The manipulation of symbolic entities, each with values, properties, and constrained relationships to other symbolic entities is a major component. To perform recognition, the system operates in a guided globular reasoning framework. Further, concepts for a vision system which center on deduction are inherently distributed and desirable for an asynchronous systolic array architecture. The concepts presented in this paper, which are normally inaccessible, ease the tasks of processing spatial knowledge and modeling a modularly structured system.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kamran Reihani, Kamran Reihani, Wiley E. Thompson, Wiley E. Thompson, } "Knowledge representation in a guided globular reasoning framework (Part I)", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57103; https://doi.org/10.1117/12.57103


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