Solving geometric constraints in a parallel network

The paper describes a network implementation of the SUP-INF method for solving sets of inequalities, giving several advantages over previous implementations. The cost of symbolic manipulation is transferred to compile time allowing an increase in speed at run time due to parallel evaluation. Further...

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Veröffentlicht in:	Image and vision computing 1988, Vol.6 (2), p.100-106
Hauptverfasser:	Fisher, Robert B, Orr, Mark J.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	constraint manipulation geometric reasoning machine vision parallelism
Online-Zugang:	Volltext
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