Automatic 3D face component analysis technique
Seong‐Jae Lim, Bon-Woo Hwang, Seung-Uk Yoon, Jin Sung Choi, Chang-Joon Park · 2018
This paper proposes a technique to perform segmentation for the meaningful regions that part of the face captured by 3D scanners or 3D sensors, automatically. Each part recognition of the scanned face is vital for the 3D applications such as modeling, animation and 3D printing. We transfer the template model labeled with the meaningful part to the scanned face model to find the corresponding part of each meaningful part of the template model. This technique can be used to the several applications such as 3D face modeling, facial animation, virtual facial surgery and 3D printing.