Co-skeletons: Consistent curve skeletons for shape familiesWu, Z., Chen, X., Yu, L., Telea, A. & Kosinka, J., Aug-2020, In : Computers & graphics-Uk. 90, p. 62-72 11 p.
Research output: Contribution to journal › Article › Academic › peer-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. (C) 2020 Elsevier Ltd. All rights reserved.
|Number of pages||11|
|Journal||Computers & graphics-Uk|
|Early online date||16-May-2020|
|Publication status||Published - Aug-2020|
|Event||Symposium on Solid and Physical Modeling (SPM) collocated with the Shape Modeling International Conference (SMI) - |
Duration: 2-Jun-2020 → 4-Jun-2020
Symposium on Solid and Physical Modeling (SPM) collocated with the Shape Modeling International Conference (SMI)
02/06/2020 → 04/06/2020
- Co-skeleton, Curve skeleton, Mesh processing, Shape segmentation, PART-TYPE SEGMENTATION, AFFINITY AGGREGATION, 3D SHAPES, SURFACE, IMAGE, TIME