Title:	Automated Surface Extraction: Adaptive Remeshing Meets Lagrangian Shrink-Wrapping
Authors:	Čavarga, Martin
Citation:	Journal of WSCG. 2024, vol. 32, no. 1-2, p. 21-30.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	article článek article
URI:	http://hdl.handle.net/11025/57341
ISSN:	1213 – 6972 1213 – 6980 (CD-ROM) 1213 – 6964 (on-line)
Keywords:	kapotáž;povrchový vývoj;Lagrangian Shrink-Wrapping;adaptivní remeshing;detekce znaku;point cloud meshing;kvalita sítě;izopovrchová extrakce;zjednodušení sítě
Keywords in different language:	fairing;surface evolution;Lagrangian Shrink-Wrapping;adaptive remeshing;feature detection;mesh quality;síťování mračna bodů;isosurface extraction;mesh simplification
Abstract in different language:	Fairing methods, frequently used for smoothing noisy features of surfaces, evolve a surface towards a simpler shape. The process of shaping a simple surface into a more complex object requires using a scalar field defined in the ambient space to drive the surface towards a target shape. Practical implementation of such evolution, referred to as Lagrangian Shrink-Wrapping (LSW), on discrete mesh surfaces presents a variety of challenges. Our key innovation lies in the integration of adaptive remeshing and curvature-based feature detection, ensuring mesh quality and proximity to target data. We introduce the Equilateral Triangle Jacobian Condition Number metric for assessing triangle quality, and introduce trilinear interpolation for enhanced surface detailing to improve upon existing implementations. Our approach is tested with point cloud meshing, isosurface extraction, and the elimination of internal mesh data, providing significant improvements in efficiency and accuracy. Moreover we extend the evolution to surfaces with higher genus to shrink-wrap even more complex data.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	Volume 32, number 1-2 (2024)

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