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Computer-Aided Design
Volume 24, Issue 5, May 1992, Pages 267-277
 
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doi:10.1016/0010-4485(92)90080-T    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1992 Published by Elsevier Science Ltd.

Procedural interpolation with geometrically continuous cubic splines

L. A. Shirman and C. H. Séquin

Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA

Received 27 November 1990; 
revised 30 December 1991. 
Available online 28 February 2003.

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Abstract

A local interpolation method for curves in Image 2 or Image 3 offering G1 continuity is described. A curve is represented as a union of geometrically continuous cubic Bézier segments between each pair of adjacent vertices. At each interpolation point, the procedure determines a tangent direction and two derivative magnitudes on either side of the vertex. The method uses an intuitive geometric, rule-based approach to find a ‘good’ default solution that produces pleasing-looking results even for highly irregular sets of data Various spline properties and their relevance to the method are also discussed.

Author Keywords: procedural interpolation; pleasing splines; geometric continuity

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Computer-Aided Design
Volume 24, Issue 5, May 1992, Pages 267-277
 
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