Real-Time Head Pose Tracking with Online Face Template Reconstruction.

Li, Songnan; Ngan, King Ngi; Paramesran, Raveendran; Sheng, Lu · IEEE Trans Pattern Anal Mach Intell · 2016

basic_science · Level V

Where this comes from

Abstract

We propose a real-time method to accurately track the human head pose in the 3-dimensional (3D) world. Using a RGB-Depth camera, a face template is reconstructed by fitting a 3D morphable face model, and the head pose is determined by registering this user-specific face template to the input depth video.