Open-Source 3D Morphing Software for Facial Plastic Surgery and Facial Landmark Detection Research and Open Access Face Data Set Based on Deep Learning (Artificial Intelligence) Generated Synthetic 3D Models.

The scarcity of 3D facial models presents a significant hurdle for researchers and educators. Gathering such data demands substantial resources. To introduce an open-source 3D morphing software to generate 3D facial data sets for research and to provide a large sample data set that is based on synthetically generated 3D models.

Three-dimensional (3D) area and volume measurements for rhinoplasty.

Background: Morphometric changes achieved in rhinoplasty are mostly analyzed on two-dimensional (2D) images. However, most of these alterations are amenable to three-dimensional (3D) analysis.

Objectives: Objective measurements for rhinoplasty are currently done on 2D photographic analyses.