Real-time head pose tracking with online face template reconstruction

Songnan Li, King Ngi Ngan, Raveendran Paramesran, Lu Sheng

Research output: Contribution to journalArticleResearchpeer-review

28 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1922-1928
Number of pages7
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Issue number9
Publication statusPublished - 1 Sept 2016
Externally publishedYes


  • deformable face model
  • Head pose tracking
  • iterative closest point
  • RGB-Depth camera

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