Real-Time Head Pose Tracking with Online Face Template Reconstruction

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 v...

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Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 38(2016), 9 vom: 17. Sept., Seite 1922-8
Auteur principal:	Li, Songnan (Auteur)
Autres auteurs:	Ngan, King Ngi, Paramesran, Raveendran, Sheng, Lu
Format:	Article en ligne
Langue:	English
Publié:	2016
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article