Co-skeletons: Consistent curve skeletons for shape families

Zizhao Wu*, Xingyu Chen, Lingyun Yu, Alexandru Telea, Jiří Kosinka

*Bijbehorende auteur voor dit werk

Onderzoeksoutput: ArticleAcademicpeer review

2 Citaten (Scopus)
77 Downloads (Pure)


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.

Originele taal-2English
Pagina's (van-tot)62-72
Aantal pagina's11
TijdschriftComputers & Graphics
Vroegere onlinedatum16-mei-2020
StatusPublished - aug.-2020
EvenementSymposium on Solid and Physical Modeling (SPM) collocated with the Shape Modeling International Conference (SMI) -
Duur: 2-jun.-20204-jun.-2020

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