Computational Human Nasal Reconstruction Based on Facial Landmarks
-
Published:2023-05-25
Issue:11
Volume:11
Page:2456
-
ISSN:2227-7390
-
Container-title:Mathematics
-
language:en
-
Short-container-title:Mathematics
Author:
Anh Tuan Ho Nguyen1ORCID, Truong Thinh Nguyen2ORCID
Affiliation:
1. Anatomy Department, Pham Ngoc Thach University of Medicine, Ho Chi Minh City 700000, Vietnam 2. Institute of Intelligent and Interactive Technologies, University of Economics Ho Chi Minh City—UEH, Ho Chi Minh City 700000, Vietnam
Abstract
This research presented a mathematical-based approach to the computational reconstruction of the human nose through images with anthropometric characteristics. The nasal baselines, which were generated from facial aesthetic subunits combined with the facial landmarks, were reconstructed using interpolation and Mesh adaptive direct search algorithms to generate points that would serve as the support for the layer-by-layer reconstruction. The approach is proposed as the basis for nasal reconstruction in aesthetics or forensics rather than focusing on the applications of image processing or deep learning. A mathematical model for the computational reconstruction was built, and then volunteers were the subjects of nasal reconstruction experiments. The validations based on the area errors—which are based on four samples and eight sub-regions with different values depending on the regions C1, C2, and C3 and nasal shapes of the volunteers—were measured to prove the results of the mathematical model. Evaluations have demonstrated that the computer-reconstructed noses fit the original ones in shape and with minimum area errors. This study describes a computational reconstruction based on a mathematical approach directly to facial anthropometric landmarks to reconstruct the nasal shape.
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Reference38 articles.
1. Quatrehomme, G., and Gérard, S. (2005). Computer Graphic Facial Reconstruction, Elsevier. 2. Clement, J.G., and Marks, M.K. (2005). Computer-Graphic Facial Reconstruction, Elsevier. 3. Putra, R.U., Basri, H., Prakoso, A.T., Chandra, H., Ammarullah, M.I., Akbar, I., Syahrom, A., and Kamarul, T. (2023). Level of Activity Changes Increases the Fatigue Life of the Porous Magnesium Scaffold, as Observed in Dynamic Immersion Tests, over Time. Sustainability, 15. 4. Prakoso, A.T., Basri, H., Adanta, D., Yani, I., Ammarullah, M.I., Akbar, I., Ghazali, F.A., Syahrom, A., and Kamarul, T. (2023). The Effect of Tortuosity on Permeability of Porous Scaffold. Biomedicines, 11. 5. Anatomy-based face reconstruction for animation using multi-layer deformation;Zhang;J. Vis. Lang. Comput.,2006
|
|