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Cited by 264

The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.

3D Skeletons: A State‐of‐the‐Art Report

Open access
Tagliasacchi, Andrea, Delame, Thomas, Spagnuolo, Michela, Amenta, Nina, Telea, Alexandru·2016·Computer Graphics Forum

Abstract

Given a shape, a skeleton is a thin centered structure which jointly describes the topology and the geometry of the shape. Skeletons provide an alternative to classical boundary or volumetric representations, which is especially effective for applications where one needs to reason about, and manipulate, the structure of a shape. These skeleton properties make them powerful tools for many types of shape analysis and processing tasks. For a given shape, several skeleton types can be defined, each having its own properties, advantages, and drawbacks. Similarly, a large number of methods exist to compute a given skeleton type, each having its own requirements, advantages, and limitations. While using skeletons for two‐dimensional (2D) shapes is a relatively well covered area, developments in the skeletonization of three‐dimensional (3D) shapes make these tasks challenging for both researchers and practitioners. This survey presents an overview of 3D shape skeletonization. We start by presenting the definition and properties of various types of 3D skeletons. We propose a taxonomy of 3D skeletons which allows us to further analyze and compare them with respect to their properties. We next overview methods and techniques used to compute all described 3D skeleton types, and discuss their assumptions, advantages, and limitations. Finally, we describe several applications of 3D skeletons, which illustrate their added value for different shape analysis and processing tasks.

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Metadata

Authors
Tagliasacchi, A., Delame, T., Spagnuolo, M., Amenta, N., & Telea, A.
Venue
Computer Graphics Forum
Publisher
Wiley
Published
2016-05
Volume
35
Issue
2
Pages
573-597
ISSN
  • 0167-7055 (ISSN-L)
  • 1467-8659
OpenAlex
W2339234205
Cited by
264
References
112
FWCI
24.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: 3D Skeletons: A State‐of‐the‐Art Report. https://app.cochat.ai/papers/10.1111/cgf.12865
The paper
Tagliasacchi, A., Delame, T., Spagnuolo, M., Amenta, N., & Telea, A. (2016). 3D Skeletons: A State‐of‐the‐Art Report. Computer Graphics Forum. https://doi.org/10.1111/cgf.12865

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.