3D Laplacian Surface Deformation for Template Fitting on Craniofacial Reconstruction

Putu Hendra Suputra and Anggraini Dwi Sensusiati and Eko Mulyanto Yuniarno and Mauridhi Hery Purnomo and I Ketut Eddy Purnama (2020) 3D Laplacian Surface Deformation for Template Fitting on Craniofacial Reconstruction. In: ACM International Conference Proceeding Series "Proceedings of the 8th International Conference on Computer and Communications Management". Association for Computing Machinery, New York, NY, United States, Singapore, pp. 27-32. ISBN 978-1-4503-8766-8

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Official URL: https://dl.acm.org/doi/10.1145/3411174.3411175

Abstract

Computer-based craniofacial reconstruction utilizes medical imaging for forensic identification and medical reconstruction surgery, enables sophisticated three-dimension object representation and visualization. Reconstruction process involves deformation in their imagery how the shape of a person's face based on its properties and landmark correspondences. We propose the Laplacian surface deformation to deform the facial template to the cranial surface on several constraints that simulates fitting face to the skull using landmark correspondences. The range of variation of the landmarks on the human face lies in narrow intervals. In other words, small differences can affect the shape and facial expressions. Thus, a Laplacian surface model gives better result than a volumetric Laplacian in the matter of accuracy.

Item Type: Book Section
Uncontrolled Keywords: Laplacian, Surface-deformation, volumetric-deformation, craniofacial reconstruction, biomedical, surface editing
Subjects: R Medicine > R Medicine (General)
R Medicine > RC Internal medicine > RC71-78.7 Examination. Diagnosis Including radiography
Divisions: 01. Fakultas Kedokteran > Radiologi
Creators:
CreatorsNIM
Putu Hendra SuputraUNSPECIFIED
Anggraini Dwi SensusiatiNIDN0009126107
Eko Mulyanto YuniarnoUNSPECIFIED
Mauridhi Hery PurnomoUNSPECIFIED
I Ketut Eddy PurnamaUNSPECIFIED
Depositing User: arys fk
Date Deposited: 16 Sep 2021 02:57
Last Modified: 16 Sep 2021 02:57
URI: http://repository.unair.ac.id/id/eprint/110348
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