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Research Article | Open Access

Deforming generalized cylinders without self-intersection by means of a parametric center curve

Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27705, United States.
Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27705, United States.
Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27705, United States.
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Abstract

Large-scale deformations of a tubular object, or generalized cylinder, are often defined by a target shape for its center curve, typically using a parametric target curve. This task is non-trivial for free-form deformations or direct manipulation methods because it is hard to manually control the centerline by adjusting control points. Most skeleton-based methods are no better, again due to the small number of manually adjusted control points. In this paper, we propose a method to deform a generalized cylinder based on its skeleton composed of a centerline and orthogonal cross sections. Although we are not the first to use such a skeleton, we propose a novel skeletonization method that tries to minimize the number of intersections between neighboring cross sections by means of a relative curvature condition to detect intersections. The mesh deformation is first defined geometrically by deforming the centerline and mapping the cross sections. Rotation minimizing frames are used during mapping to control twisting. Secondly, given displacements on the cross sections, the deformation is decomposed into finely subdivided regions. We limit distortion at these vertices by minimizing an elastic thin shell bending energy, in linear time. Our method can handle complicated generalized cylinders such as the human colon.

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Computational Visual Media
Pages 305-321

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Cite this article:
Ma R, Zhao Q, Wang R, et al. Deforming generalized cylinders without self-intersection by means of a parametric center curve. Computational Visual Media, 2018, 4(4): 305-321. https://doi.org/10.1007/s41095-018-0127-7

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Revised: 31 October 2018
Accepted: 20 November 2018
Published: 23 December 2018
© The Author(s) 2018

This article is published with open access at Springerlink.com

The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www.editorialmanager.com/cvmj.