TY - GEN
T1 - Facial Model Deformation Based on Landmarks Using Laplacian
AU - Aji, Ongki Permono
AU - Ketut Eddy Purnama, I.
AU - Yuniarno, Eko Mulyanto
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Reconstructing a 3D face model from an unknown skull provides many benefits in the fields of archeology, anthropology, and forensic investigation. Computer systems for 3D facial reconstruction provide a big advantage in reducing time consumption. In this paper, we propose computer-based 3D face reconstruction for Indonesian from CT Scan images using facial model deformation which is limited by knowledge of soft tissue thicknesses. First, we prepare supporting data in the form of general face models and FSTTs for Indonesians. Then we set landmarks on the unknown skulls. By adding FSTT to the skull landmarks, we get landmark coordinates from predicted face. Finally, we performed Laplacian deformation on the face model so that its shape and size matched the landmark coordinates of the predicted face.
AB - Reconstructing a 3D face model from an unknown skull provides many benefits in the fields of archeology, anthropology, and forensic investigation. Computer systems for 3D facial reconstruction provide a big advantage in reducing time consumption. In this paper, we propose computer-based 3D face reconstruction for Indonesian from CT Scan images using facial model deformation which is limited by knowledge of soft tissue thicknesses. First, we prepare supporting data in the form of general face models and FSTTs for Indonesians. Then we set landmarks on the unknown skulls. By adding FSTT to the skull landmarks, we get landmark coordinates from predicted face. Finally, we performed Laplacian deformation on the face model so that its shape and size matched the landmark coordinates of the predicted face.
KW - FSTT
KW - landmark
KW - laplacian
KW - point cloud
KW - surface deformation
UR - http://www.scopus.com/inward/record.url?scp=85084455365&partnerID=8YFLogxK
U2 - 10.1109/CENIM48368.2019.8973319
DO - 10.1109/CENIM48368.2019.8973319
M3 - Conference contribution
AN - SCOPUS:85084455365
T3 - 2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019 - Proceeding
BT - 2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019
Y2 - 19 November 2019 through 20 November 2019
ER -