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Constrained shape scaling of multi-surface objects

Producción científica: Conference contributionrevisión exhaustiva

1 Cita (Scopus)

Resumen

A method to scale a multi-surface object while holding the shape and size of specific features (trimming curves) unchanged is presented. The new method includes an earlier version for a one-NURBS-surface object as a special case by considering more general objects and more general features. The constrained scaling process is attach-and-deform based. The new surface is constructed by attaching the original features to a scaled version of the given object. The attaching process requires several transformations and a deformation of the scaled object. The resulting object has the same features as the original object while reflecting the shape and curvature distribution of the scaled object. The presented approach maintains a NURBS representation for each component surface of the resulting object and hence, is compatible with most of the current data-exchange standards. Test results on several car body surfaces with trimming curves are included. The quality of the resulting surfaces is examined using the highlight line model.

Idioma originalEnglish
Título de la publicación alojadaProceedings - Geometric Modeling and Processing 2000
Subtítulo de la publicación alojadaTheory and Applications
EditoresRalph Martin
Páginas398-407
Número de páginas10
ISBN (versión digital)0769505627, 9780769505626
DOI
EstadoPublished - 2000
EventoGeometric Modeling and Processing 2000, GMP 2000 - Hong Kong, China
Duración: abr 11 2000abr 12 2000

Serie de la publicación

NombreProceedings - Geometric Modeling and Processing 2000: Theory and Applications

Conference

ConferenceGeometric Modeling and Processing 2000, GMP 2000
País/TerritorioChina
CiudadHong Kong
Período4/11/004/12/00

Nota bibliográfica

Publisher Copyright:
© 2000 IEEE.

Financiación

The financial support of Ford Motor Company through a URP grant and Honda Motor Company through two HIG grants, and the consulting support of Drs. Paul Stewart and Yifan Chen of the Ford Research Lab and Dr. Shane Chang of the Honda R&D North America are deeply appreciated. We also thank Shirish Pande for programming support on the generation of shaped images for this paper.

Financiadores
Honda Motor Company
Ford Motor Company

    ASJC Scopus subject areas

    • Computational Mathematics
    • Geometry and Topology
    • Modeling and Simulation

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