An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D
- Autores
- Torcida, Sebastián; Perez, Sergio Ivan; Gonzalez, Paula Natalia
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The study of shape changes in morphology has seen a significant renovation in the last 20 years, particularly as a consequence of the development of geometric morphometric methods based on Cartesian coordinates of points. In order to extract information about shape differences when Cartesian coordinates are used, it is necessary to establish a common reference frame or system for all specimens to be compared. Therefore, a central issue in coordinate-based methods is which criterion should be used to align these configurations of points, since shape differences highly depend on those alignments. This is usually accomplished by aligning the configurations in a way that the sum of squared distances between coordinates of homologous points (landmarks) is minimized: the least-squares superimposition method. However, it is widely recognized that this method has some limitations when shape differences are not homogeneous across landmarks. Here we present an integrated approach for the resistant shape comparison of 3D landmark sets. It includes a new ordinary resistant Procrustes superimposition and its corresponding generalized resistant Procrustes version. In addition, they are combined with existing resistant multivariate statistical techniques for depicting the results. We demonstrate, by using both simulated and real datasets, that resistant Procrustes better detects and measures localized shape variation whenever present in up to half but one of the landmarks. The resistant Procrustes results are highly concordant with a priori biological information, and might dramatically improve the quality of inferences on patterns of shape variation.
Fil: Torcida, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Departamento de Matemática; Argentina
Fil: Perez, Sergio Ivan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico de Antropología; Argentina
Fil: Gonzalez, Paula Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico de Antropología; Argentina - Materia
-
Resistance
Repeated Medians
3d Landmarks
Procrustes Superimposition
Spatial Median
Resistant Mds - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/32557
Ver los metadatos del registro completo
id |
CONICETDig_0f7bc5ce051338fe06fba7da2dd29114 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/32557 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3DTorcida, SebastiánPerez, Sergio IvanGonzalez, Paula NataliaResistanceRepeated Medians3d LandmarksProcrustes SuperimpositionSpatial MedianResistant Mdshttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1The study of shape changes in morphology has seen a significant renovation in the last 20 years, particularly as a consequence of the development of geometric morphometric methods based on Cartesian coordinates of points. In order to extract information about shape differences when Cartesian coordinates are used, it is necessary to establish a common reference frame or system for all specimens to be compared. Therefore, a central issue in coordinate-based methods is which criterion should be used to align these configurations of points, since shape differences highly depend on those alignments. This is usually accomplished by aligning the configurations in a way that the sum of squared distances between coordinates of homologous points (landmarks) is minimized: the least-squares superimposition method. However, it is widely recognized that this method has some limitations when shape differences are not homogeneous across landmarks. Here we present an integrated approach for the resistant shape comparison of 3D landmark sets. It includes a new ordinary resistant Procrustes superimposition and its corresponding generalized resistant Procrustes version. In addition, they are combined with existing resistant multivariate statistical techniques for depicting the results. We demonstrate, by using both simulated and real datasets, that resistant Procrustes better detects and measures localized shape variation whenever present in up to half but one of the landmarks. The resistant Procrustes results are highly concordant with a priori biological information, and might dramatically improve the quality of inferences on patterns of shape variation.Fil: Torcida, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Departamento de Matemática; ArgentinaFil: Perez, Sergio Ivan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico de Antropología; ArgentinaFil: Gonzalez, Paula Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico de Antropología; ArgentinaSpringer2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32557Torcida, Sebastián; Perez, Sergio Ivan; Gonzalez, Paula Natalia; An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D; Springer; Evolutionary Biology; 41; 2; 6-2014; 351-3660071-3260CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s11692-013-9264-1info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs11692-013-9264-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:18:29Zoai:ri.conicet.gov.ar:11336/32557instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:18:29.439CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D |
title |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D |
spellingShingle |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D Torcida, Sebastián Resistance Repeated Medians 3d Landmarks Procrustes Superimposition Spatial Median Resistant Mds |
title_short |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D |
title_full |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D |
title_fullStr |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D |
title_full_unstemmed |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D |
title_sort |
An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D |
dc.creator.none.fl_str_mv |
Torcida, Sebastián Perez, Sergio Ivan Gonzalez, Paula Natalia |
author |
Torcida, Sebastián |
author_facet |
Torcida, Sebastián Perez, Sergio Ivan Gonzalez, Paula Natalia |
author_role |
author |
author2 |
Perez, Sergio Ivan Gonzalez, Paula Natalia |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Resistance Repeated Medians 3d Landmarks Procrustes Superimposition Spatial Median Resistant Mds |
topic |
Resistance Repeated Medians 3d Landmarks Procrustes Superimposition Spatial Median Resistant Mds |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The study of shape changes in morphology has seen a significant renovation in the last 20 years, particularly as a consequence of the development of geometric morphometric methods based on Cartesian coordinates of points. In order to extract information about shape differences when Cartesian coordinates are used, it is necessary to establish a common reference frame or system for all specimens to be compared. Therefore, a central issue in coordinate-based methods is which criterion should be used to align these configurations of points, since shape differences highly depend on those alignments. This is usually accomplished by aligning the configurations in a way that the sum of squared distances between coordinates of homologous points (landmarks) is minimized: the least-squares superimposition method. However, it is widely recognized that this method has some limitations when shape differences are not homogeneous across landmarks. Here we present an integrated approach for the resistant shape comparison of 3D landmark sets. It includes a new ordinary resistant Procrustes superimposition and its corresponding generalized resistant Procrustes version. In addition, they are combined with existing resistant multivariate statistical techniques for depicting the results. We demonstrate, by using both simulated and real datasets, that resistant Procrustes better detects and measures localized shape variation whenever present in up to half but one of the landmarks. The resistant Procrustes results are highly concordant with a priori biological information, and might dramatically improve the quality of inferences on patterns of shape variation. Fil: Torcida, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Departamento de Matemática; Argentina Fil: Perez, Sergio Ivan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico de Antropología; Argentina Fil: Gonzalez, Paula Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico de Antropología; Argentina |
description |
The study of shape changes in morphology has seen a significant renovation in the last 20 years, particularly as a consequence of the development of geometric morphometric methods based on Cartesian coordinates of points. In order to extract information about shape differences when Cartesian coordinates are used, it is necessary to establish a common reference frame or system for all specimens to be compared. Therefore, a central issue in coordinate-based methods is which criterion should be used to align these configurations of points, since shape differences highly depend on those alignments. This is usually accomplished by aligning the configurations in a way that the sum of squared distances between coordinates of homologous points (landmarks) is minimized: the least-squares superimposition method. However, it is widely recognized that this method has some limitations when shape differences are not homogeneous across landmarks. Here we present an integrated approach for the resistant shape comparison of 3D landmark sets. It includes a new ordinary resistant Procrustes superimposition and its corresponding generalized resistant Procrustes version. In addition, they are combined with existing resistant multivariate statistical techniques for depicting the results. We demonstrate, by using both simulated and real datasets, that resistant Procrustes better detects and measures localized shape variation whenever present in up to half but one of the landmarks. The resistant Procrustes results are highly concordant with a priori biological information, and might dramatically improve the quality of inferences on patterns of shape variation. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/32557 Torcida, Sebastián; Perez, Sergio Ivan; Gonzalez, Paula Natalia; An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D; Springer; Evolutionary Biology; 41; 2; 6-2014; 351-366 0071-3260 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/32557 |
identifier_str_mv |
Torcida, Sebastián; Perez, Sergio Ivan; Gonzalez, Paula Natalia; An Integrated Approach for Landmark-Based Resistant Shape Analysis in 3D; Springer; Evolutionary Biology; 41; 2; 6-2014; 351-366 0071-3260 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11692-013-9264-1 info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs11692-013-9264-1 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844614147001548800 |
score |
13.070432 |