Multi-view NURBS Volume

Wanwan Li

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Paper

Multi-view NURBS Volume

Topics: Geometric Computing; Modeling and Algorithms; Surface Modeling

In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: VISIGRAPP, 228-235, 2022

Author: Wanwan Li

Affiliation: Department of Computer Science George Mason University, Fairfax, VA, U.S.A.

Keyword(s): Geometric Modeling, Interactive Interface, Numerical Optimization, NURBS Volume.

Abstract: Non-Uniform Rational B-Spline (NURBS) curves and surfaces are widely used in modern geometric modeling systems. NURBS volumes, also called volumetric NURBS, are one powerful NURBS representation of volumetric modeling. However, due to the complex nature of NURBS volumes, it is a challenging task for users to fine-tune the NURBS volumes design manually. In this paper, we present a novel approach for multi-view NURBS volume geometric modeling. Given users’ conceptual design for several different views of a 3D model, we devise an optimization algorithm to automatically reconstruct the 3D NURBS volume which is matching with these designs by projecting it along with different view directions. In the end, we discuss the results generated with our approach through a series of numerical experiments.

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Paper citation in several formats:

Li, W. (2022). Multi-view NURBS Volume. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 228-235. DOI: 10.5220/0010850200003124

@conference{grapp22,
author={Wanwan Li.},
title={Multi-view NURBS Volume},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP},
year={2022},
pages={228-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010850200003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP
TI - Multi-view NURBS Volume
SN - 978-989-758-555-5
IS - 2184-4321
AU - Li, W.
PY - 2022
SP - 228
EP - 235
DO - 10.5220/0010850200003124
PB - SciTePress