Morphometric analysis of 3D soft-tissue for sexual dimorphism in human face
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 skyrocke...
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| Format: | Article |
| Language: | English |
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Sociedad Chilena de Anatomía
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/86836/ http://psasir.upm.edu.my/id/eprint/86836/1/Morphometric%20analysis%20of%203D.pdf |
| _version_ | 1848860299680022528 |
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| author | Agbolade, Olalekan Nazri, Azree Yaakob, Razali Abd Ghani, Abdul Azim Yoke, Kqueen Cheah |
| author_facet | Agbolade, Olalekan Nazri, Azree Yaakob, Razali Abd Ghani, Abdul Azim Yoke, Kqueen Cheah |
| author_sort | Agbolade, Olalekan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T12:43:02Z |
| format | Article |
| id | upm-86836 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:43:02Z |
| publishDate | 2020 |
| publisher | Sociedad Chilena de Anatomía |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-868362021-11-20T11:55:52Z http://psasir.upm.edu.my/id/eprint/86836/ Morphometric analysis of 3D soft-tissue for sexual dimorphism in human face Agbolade, Olalekan Nazri, Azree Yaakob, Razali Abd Ghani, Abdul Azim Yoke, Kqueen Cheah 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. Sociedad Chilena de Anatomía 2020-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86836/1/Morphometric%20analysis%20of%203D.pdf Agbolade, Olalekan and Nazri, Azree and Yaakob, Razali and Abd Ghani, Abdul Azim and Yoke, Kqueen Cheah (2020) Morphometric analysis of 3D soft-tissue for sexual dimorphism in human face. International Journal of Morphology, 38 (2). 367 - 373. ISSN 0717-9502 https://scielo.conicyt.cl/scielo.php?script=sci_abstract&pid=S0717-95022020000200367&lng=en&nrm=iso 10.4067/S0717-95022020000200367 |
| spellingShingle | Agbolade, Olalekan Nazri, Azree Yaakob, Razali Abd Ghani, Abdul Azim Yoke, Kqueen Cheah Morphometric analysis of 3D soft-tissue for sexual dimorphism in human face |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/86836/ http://psasir.upm.edu.my/id/eprint/86836/ http://psasir.upm.edu.my/id/eprint/86836/ http://psasir.upm.edu.my/id/eprint/86836/1/Morphometric%20analysis%20of%203D.pdf |