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Cited by 828

The DOI matches its OpenAlex record; 59 of the 59 references it cites were found in a registry or an index.

Semilandmarks: a method for quantifying curves and surfaces

Open access
Philipp Gunz, Philipp Mitterœcker·2013·Bollettino del CILEA (CILEA)

Abstract

Quantitative shape analysis using geometric morphometrics is based on the statistical analysis of landmark coordinates. Many structures, however, cannot be quantified using traditional landmarks. Semilandmarks make it possible to quantify two or three-dimensional homologous curves and sur- faces, and analyse them together with traditional landmarks. Here we first introduce the concept of sliding semilandmarks and discuss applications and limitations of this method. In a second part we show how the sliding semilandmark algorithm can be used to estimate missing data in incomplete specimens. Download the complete Yellow Book on Virtual Morphology and Evolutionary Morphometrics in the new millenium.

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OpenAlex · 10.4404/hystrix-24.1-6292

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Metadata

Authors
Gunz, P., & Mitterœcker, P.
Venue
Bollettino del CILEA (CILEA)
Publisher
Conservatorio di Musica Francesco Cilea
Published
2013-01-01
OpenAlex
W32195621
Cited by
828
References
59
FWCI
55.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Semilandmarks: a method for quantifying curves and surfaces. https://app.cochat.ai/papers/10.4404/hystrix-24.1-6292
The paper
Gunz, P., & Mitterœcker, P. (2013). Semilandmarks: a method for quantifying curves and surfaces. Bollettino del CILEA (CILEA). https://doi.org/10.4404/hystrix-24.1-6292

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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.