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NURBS Fusion

Authors: Xin Liu 0047; Marina L. Gavrilova; Faramarz F. Samavati;

NURBS Fusion

Abstract

In this paper, we propose a new NURBS modeling technique, called NURBS fusion and present a complete algorithm for NURBS fusion. Working on a set of intersecting NURBS surfaces, NURBS fusion automatically eliminates the intersected parts and connects the remaining parts smoothly with auxiliary surfaces, so that a polysurface composed of multiple nicely joined NURBS patches is obtained. The surface fusion algorithm performs in three steps. First, surface/surface intersection is computed by a subdivision based algorithm, which gives intersecting point pairs in parameter domains. Second, base surfaces are trimmed "excessively" along intersection curves to eliminate the intersected parts and make gaps that will be filled by the auxiliary connection surfaces. Finally, bicubic B-spline auxiliary surfaces are constructed to connect the base surfaces in a smooth fashion. Our algorithm is concise, fast, and it produces low degree NURBS results compatible with most data-exchange standards.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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