Craniofacial Reconstruction Evaluation by Geodesic Network
Joint Authors
Duan, Fu-qing
Zhao, Junli
Liu, Quansheng
Wang, Kang
Jia, Taorui
Wu, Zhongke
Liu, Cuiting
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Craniofacial reconstruction is to estimate an individual’s face model from its skull.
It has a widespread application in forensic medicine, archeology, medical cosmetic surgery, and so forth.
However, little attention is paid to the evaluation of craniofacial reconstruction.
This paper proposes an objective method to evaluate globally and locally the reconstructed craniofacial faces based on the geodesic network.
Firstly, the geodesic networks of the reconstructed craniofacial face and the original face are built, respectively, by geodesics and isogeodesics, whose intersections are network vertices.
Then, the absolute value of the correlation coefficient of the features of all corresponding geodesic network vertices between two models is taken as the holistic similarity, where the weighted average of the shape index values in a neighborhood is defined as the feature of each network vertex.
Moreover, the geodesic network vertices of each model are divided into six subareas, that is, forehead, eyes, nose, mouth, cheeks, and chin, and the local similarity is measured for each subarea.
Experiments using 100 pairs of reconstructed craniofacial faces and their corresponding original faces show that the evaluation by our method is roughly consistent with the subjective evaluation derived from thirty-five persons in five groups.
American Psychological Association (APA)
Zhao, Junli& Liu, Cuiting& Wu, Zhongke& Duan, Fu-qing& Wang, Kang& Jia, Taorui…[et al.]. 2014. Craniofacial Reconstruction Evaluation by Geodesic Network. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-510219
Modern Language Association (MLA)
Zhao, Junli…[et al.]. Craniofacial Reconstruction Evaluation by Geodesic Network. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-510219
American Medical Association (AMA)
Zhao, Junli& Liu, Cuiting& Wu, Zhongke& Duan, Fu-qing& Wang, Kang& Jia, Taorui…[et al.]. Craniofacial Reconstruction Evaluation by Geodesic Network. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-510219
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510219