Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face

SUMMARY: Sexual dimorphism in Homo-sapiens is a phenomenon of a direct product of evolution by natural selection where evolutionary forces acted separately on the sexes which brought about the differences in appearance between male and female such as in shape and size. Advances in morphometrics have...

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Autores principales:	Agbolade,Olalekan, Nazri,Azree, Yaakob,Razali, Ghani,Abdul Azim, Cheah,Yoke Kqueen
Lenguaje:	English
Publicado:	Sociedad Chilena de Anatomía 2020
Materias:	Sexual dimorphism Facial landmark 3D geometric morphometrics Multi-point warping LDA
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022020000200367
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spelling	oai:scielo:S0717-950220200002003672020-02-03Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human FaceAgbolade,OlalekanNazri,AzreeYaakob,RazaliGhani,Abdul AzimCheah,Yoke Kqueen Sexual dimorphism Facial landmark 3D geometric morphometrics Multi-point warping LDA SUMMARY: Sexual dimorphism in Homo-sapiens is a phenomenon of a direct product of evolution by natural selection where evolutionary forces acted separately on the sexes which brought about the differences in appearance between male and female such as in shape and size. Advances in morphometrics have skyrocketed the rate of research on sex differences in human and other species. However, the current challenges facing 3D in the acquisition of facial data such as lack of homology, insufficient landmarks to characterize the facial shape and complex computational process for facial point digitization require further study in the domain of sex dimorphism. This study investigates sexual dimorphism in the human face with the application of Automatic Homologous Multi-points Warping (AHMW) for 3D facial landmark by building a template mesh as a reference object which is thereby applied to each of the target mesh on Stirling/ESRC dataset containing 101 subjects (male = 47, female = 54). The semi-landmarks are subjected to sliding along tangents to the curves and surfaces until the bending energy between a template and a target form is minimal. Principal Component Analysis (PCA) is used for feature selection and the features are classified using Linear Discriminant Analysis (LDA) with an accuracy of 99.01 % which demonstrates that the method is robust.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.38 n.2 20202020-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022020000200367en10.4067/S0717-95022020000200367
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Sexual dimorphism Facial landmark 3D geometric morphometrics Multi-point warping LDA
spellingShingle	Sexual dimorphism Facial landmark 3D geometric morphometrics Multi-point warping LDA Agbolade,Olalekan Nazri,Azree Yaakob,Razali Ghani,Abdul Azim Cheah,Yoke Kqueen Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face
description	SUMMARY: Sexual dimorphism in Homo-sapiens is a phenomenon of a direct product of evolution by natural selection where evolutionary forces acted separately on the sexes which brought about the differences in appearance between male and female such as in shape and size. Advances in morphometrics have skyrocketed the rate of research on sex differences in human and other species. However, the current challenges facing 3D in the acquisition of facial data such as lack of homology, insufficient landmarks to characterize the facial shape and complex computational process for facial point digitization require further study in the domain of sex dimorphism. This study investigates sexual dimorphism in the human face with the application of Automatic Homologous Multi-points Warping (AHMW) for 3D facial landmark by building a template mesh as a reference object which is thereby applied to each of the target mesh on Stirling/ESRC dataset containing 101 subjects (male = 47, female = 54). The semi-landmarks are subjected to sliding along tangents to the curves and surfaces until the bending energy between a template and a target form is minimal. Principal Component Analysis (PCA) is used for feature selection and the features are classified using Linear Discriminant Analysis (LDA) with an accuracy of 99.01 % which demonstrates that the method is robust.
author	Agbolade,Olalekan Nazri,Azree Yaakob,Razali Ghani,Abdul Azim Cheah,Yoke Kqueen
author_facet	Agbolade,Olalekan Nazri,Azree Yaakob,Razali Ghani,Abdul Azim Cheah,Yoke Kqueen
author_sort	Agbolade,Olalekan
title	Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face
title_short	Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face
title_full	Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face
title_fullStr	Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face
title_full_unstemmed	Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face
title_sort	morphometric analysis of 3d soft-tissue for sexual dimorphism in human face
publisher	Sociedad Chilena de Anatomía
publishDate	2020
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022020000200367
work_keys_str_mv	AT agboladeolalekan morphometricanalysisof3dsofttissueforsexualdimorphisminhumanface AT nazriazree morphometricanalysisof3dsofttissueforsexualdimorphisminhumanface AT yaakobrazali morphometricanalysisof3dsofttissueforsexualdimorphisminhumanface AT ghaniabdulazim morphometricanalysisof3dsofttissueforsexualdimorphisminhumanface AT cheahyokekqueen morphometricanalysisof3dsofttissueforsexualdimorphisminhumanface
_version_	1718445138659770368

Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face

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