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Cited by 560

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Skeleton based shape matching and retrieval

Sundar, H., Silver, D., Gagvani, N., Dickinson, S.·2003·2003 Shape Modeling International.

Abstract

We describe a novel method for searching and comparing 3D objects. The method encodes the geometric and topological information in the form of a skeletal graph and uses graph matching techniques to match the skeletons and to compare them. The skeletal graphs can be manually annotated to refine or restructure the search. This helps in choosing between a topological similarity and a geometric (shape) similarity. A feature of skeletal matching is the ability to perform part-matching, and its inherent intuitiveness, which helps in defining the search and in visualizing the results. Also, the matching results, which are presented in a per-node basis can be used for driving a number of registration algorithms, most of which require a good initial guess to perform registration. We also describe a visualization tool to aid in the selection and specification of the matched objects.

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Crossref · 10.1109/smi.2003.1199609

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Metadata

Authors
Sundar, H., Silver, D., Gagvani, N., & Dickinson, S.
Venue
2003 Shape Modeling International.
Published
2003-12-22
Pages
130-139
OpenAlex
W2157575450
Cited by
560
References
23
FWCI
63.23
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Skeleton based shape matching and retrieval. https://app.cochat.ai/papers/10.1109/smi.2003.1199609
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Sundar, H., Silver, D., Gagvani, N., & Dickinson, S. (2003). Skeleton based shape matching and retrieval. 2003 Shape Modeling International. https://doi.org/10.1109/smi.2003.1199609

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

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