Facial morphology prediction after complete denture restoration based on principal component analysis.

ABSTRACT: In developing treatment plan before complete denture restoration, doctors need to help the patient regain chewing ability while considering facial shape reconstruction after the surgery. At present, facial deformation prediction depends on the subjective judgment and experience of doctors; thus, an accurate basis for scientific quantitative analysis is lacking. With the development of computer technology, this paper proposed new facial morphology prediction method based on principal component analysis. Firstly, the curvature feature template with few feature points is constructed to replace the deformed areas of facial models. Secondly, the principal component analysis method is used to construct an elastic deformation prediction model for complex skin tissue. Finally, the Laplacian deform

SUBMITTER: Cheng C 

PROVIDER: S-EPMC6558308 | biostudies-literature | 2019 Jul-Sep

REPOSITORIES: biostudies-literature