Visibility constrained generative model for depth-based 3D facial pose tracking

Visibility constrained generative model for depth-based 3D facial pose tracking

In this paper, we propose a generative framework that unifies depth-based 3D facial pose tracking and face model adaptation on-the-fly, in the unconstrained scenarios with heavy occlusions and arbitrary facial expression variations. Specifically, we introduce a statistical 3D morphable model that fl...

Full description

Bibliographic Details
Main Authors: Sheng, Lu, Cai, Jianfei, Cham, Tat-Jen, Pavlovic, Vladimir, Ngan, King Ngi
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
3D Facial Pose Tracking
Generative Model
Online Access:https://hdl.handle.net/10356/138265

Internet

https://hdl.handle.net/10356/138265

Similar Items