Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images

The objective of this project was to extend a state-of-the-art image-based 2D facial landmarking algorithm for the challenging task of 3D landmark identification on subjects with genetic syndromes, who often have moderate to severe facial dysmorphia. The automatic 3D facial landmarking algorithm uses 2D image-based facial detection and landmarking models to accurately identify 12 landmarks on 3D facial surface scans in under 1 second per scan.