Publication

Co-skeletons: Consistent curve skeletons for shape families

Wu, Z., Chen, X., Yu, L., Telea, A. & Kosinka, J., Aug-2020, In : Computers & graphics-Uk. 90, p. 62-72 11 p.

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  • Co-skeletons: Consistent curve skeletons for shape families

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DOI

We present co-skeletons, a new method that computes consistent curve skeletons for 3D shapes from a given family. We compute co-skeletons in terms of sampling density and semantic relevance, while preserving the desired characteristics of traditional, per-shape curve skeletonization approaches. We take the curve skeletons extracted by traditional approaches for all shapes from a family as input, and compute semantic correlation information of individual skeleton branches to guide an edge-pruning process via skeleton-based descriptors, clustering, and a voting algorithm. Our approach achieves more concise and family-consistent skeletons when compared to traditional per-shape methods. We show the utility of our method by using co-skeletons for shape segmentation and shape blending on real-world data. (C) 2020 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)62-72
Number of pages11
JournalComputers & graphics-Uk
Volume90
Early online date16-May-2020
Publication statusPublished - Aug-2020
EventSymposium on Solid and Physical Modeling (SPM) collocated with the Shape Modeling International Conference (SMI) -
Duration: 2-Jun-20204-Jun-2020

Event

Symposium on Solid and Physical Modeling (SPM) collocated with the Shape Modeling International Conference (SMI)

02/06/202004/06/2020

Event: Conference

    Keywords

  • Co-skeleton, Curve skeleton, Mesh processing, Shape segmentation, PART-TYPE SEGMENTATION, AFFINITY AGGREGATION, 3D SHAPES, SURFACE, IMAGE, TIME

ID: 125441553