Document of bibliographic reference 359334

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Classifying organisms and artefacts by their outline shapes
Abstract
We often wish to classify objects by their shapes. Indeed, the study of shapes is an important part of many scientific fields, such as evolutionary biology, structural biology, image processing and archaeology. However, mathematical shape spaces are rather complicated and nonlinear. The most widely used methods of shape analysis, geometric morphometrics, treat the shapes as sets of points. Diffeomorphic methods consider the underlying curve rather than points, but have rarely been applied to real-world problems. Using a machine classifier, we tested the ability of several of these methods to describe and classify the shapes of a variety of organic and man-made objects. We find that one method, based on square-root velocity functions (SRVFs), outperforms all others, including a standard geometric morphometric method (eigenshapes), and that it is also superior to human experts using shape alone. When the SRVF approach is constrained to take account of homologous landmarks it can accurately classify objects of very different shapes. The SRVF method identifies a shortest path between shapes, and we show that this can be used to estimate the shapes of intermediate steps in evolutionary series. Diffeomorphic shape analysis methods, we conclude, now provide practical and effective solutions to many shape description and classification problems in the natural and human sciences.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000868317100001
Bibliographic citation
Salili-James, A.; Mackay, A.; Rodriguez-Alvarez, E.; Rodriguez-Perez, D.; Mannack, T.; Rawlings, T.A.; Palmer, A.R.; Todd, J.; Riutta, T.E.; Macinnis-Ng, C.; Han, Z.; Davies, M.; Thorpe, Z.; Marsland, S.; Leroi, A.M. (2022). Classifying organisms and artefacts by their outline shapes. J. R. Soc. Interface 19(195): 20220493. https://dx.doi.org/10.1098/rsif.2022.0493
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Arianna Salili-James
author
Name
Anne Mackay
author
Name
Emilio Rodriguez-Alvarez
author
Name
Diana Rodriguez-Perez
author
Name
Thomas Mannack
author
Name
Timothy Rawlings
author
Name
A. Richard Palmer
author
Name
Jonathan Todd
author
Name
Terhi Riutta
author
Name
Cate Macinnis-Ng
author
Name
Zhitong Han
author
Name
Megan Davies
author
Name
Zinnia Thorpe
author
Name
Stephen Marsland
author
Name
Armand Leroi

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1098/rsif.2022.0493

Document metadata

date created
2022-11-17
date modified
2023-01-09