Co-skeletons: Consistent curve skeletons for shape families

Wu, Z., Chen, X., Yu, L., Telea, A. & Kosinka, J., 16-May-2020, In : Computers & graphics-Uk.

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
JournalComputers & graphics-Uk
Publication statusE-pub ahead of print - 16-May-2020


  • Co-skeleton, Curve skeleton, Mesh processing, Shape segmentation

ID: 125441553