Shape-changing chains for morphometric analysis of 2D and 3D, open or closed outlines

Abstract Morphometrics is a multivariate technique for shape analysis widely employed in biological, medical, and paleoanthropological applications. Commonly used morphometric methods require analyzing a huge amount of variables for problems involving a large number of specimens or complex shapes. M...

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Autores principales: Bingjue Li, Shengmin Zhou, Andrew Peter Murray, Gérard Subsol
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f32ca01331c2475a837cd477271b3fcd
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spelling oai:doaj.org-article:f32ca01331c2475a837cd477271b3fcd2021-11-08T10:54:04ZShape-changing chains for morphometric analysis of 2D and 3D, open or closed outlines10.1038/s41598-021-00911-52045-2322https://doaj.org/article/f32ca01331c2475a837cd477271b3fcd2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00911-5https://doaj.org/toc/2045-2322Abstract Morphometrics is a multivariate technique for shape analysis widely employed in biological, medical, and paleoanthropological applications. Commonly used morphometric methods require analyzing a huge amount of variables for problems involving a large number of specimens or complex shapes. Moreover, the analysis results are sometimes difficult to interpret and assess. This paper presents a methodology to synthesize a shape-changing chain for 2D or 3D curve fitting and to employ the chain parameters in stepwise discriminant analysis (DA). The shape-changing chain is comprised of three types of segments, including rigid segments that have fixed length and shape, scalable segments with a fixed shape, and extendible segments with constant curvature and torsion. Three examples are presented, including 2D mandible profiles of fossil hominin, 2D leaf outlines, and 3D suture curves on infant skulls. The results demonstrate that the shape-changing chain has several advantages over common morphometric methods. Specifically, it can be applied to a wide range of 2D or 3D profiles, including open or closed curves, and smooth or serrated curves. Additionally, the segmentation of profiles is a flexible and automatic protocol that can consider both biological and geometric features, the number of variables obtained from the fitting results for statistical analysis is modest, and the chain parameters that characterize the profiles can have physical meaning.Bingjue LiShengmin ZhouAndrew Peter MurrayGérard SubsolNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-20 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Bingjue Li
Shengmin Zhou
Andrew Peter Murray
Gérard Subsol
Shape-changing chains for morphometric analysis of 2D and 3D, open or closed outlines
description Abstract Morphometrics is a multivariate technique for shape analysis widely employed in biological, medical, and paleoanthropological applications. Commonly used morphometric methods require analyzing a huge amount of variables for problems involving a large number of specimens or complex shapes. Moreover, the analysis results are sometimes difficult to interpret and assess. This paper presents a methodology to synthesize a shape-changing chain for 2D or 3D curve fitting and to employ the chain parameters in stepwise discriminant analysis (DA). The shape-changing chain is comprised of three types of segments, including rigid segments that have fixed length and shape, scalable segments with a fixed shape, and extendible segments with constant curvature and torsion. Three examples are presented, including 2D mandible profiles of fossil hominin, 2D leaf outlines, and 3D suture curves on infant skulls. The results demonstrate that the shape-changing chain has several advantages over common morphometric methods. Specifically, it can be applied to a wide range of 2D or 3D profiles, including open or closed curves, and smooth or serrated curves. Additionally, the segmentation of profiles is a flexible and automatic protocol that can consider both biological and geometric features, the number of variables obtained from the fitting results for statistical analysis is modest, and the chain parameters that characterize the profiles can have physical meaning.
format article
author Bingjue Li
Shengmin Zhou
Andrew Peter Murray
Gérard Subsol
author_facet Bingjue Li
Shengmin Zhou
Andrew Peter Murray
Gérard Subsol
author_sort Bingjue Li
title Shape-changing chains for morphometric analysis of 2D and 3D, open or closed outlines
title_short Shape-changing chains for morphometric analysis of 2D and 3D, open or closed outlines
title_full Shape-changing chains for morphometric analysis of 2D and 3D, open or closed outlines
title_fullStr Shape-changing chains for morphometric analysis of 2D and 3D, open or closed outlines
title_full_unstemmed Shape-changing chains for morphometric analysis of 2D and 3D, open or closed outlines
title_sort shape-changing chains for morphometric analysis of 2d and 3d, open or closed outlines
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f32ca01331c2475a837cd477271b3fcd
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AT andrewpetermurray shapechangingchainsformorphometricanalysisof2dand3dopenorclosedoutlines
AT gerardsubsol shapechangingchainsformorphometricanalysisof2dand3dopenorclosedoutlines
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