Real-time head pose tracking with online face template reconstruction

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

doi:10.1109/TPAMI.2015.2500221

Real-time head pose tracking with online face template reconstruction

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

Research output: Contribution to journal › Article › Research › peer-review

28 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1922-1928
Number of pages	7
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	38
Issue number	9
DOIs	https://doi.org/10.1109/TPAMI.2015.2500221
Publication status	Published - 1 Sept 2016
Externally published	Yes

Keywords

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

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10.1109/TPAMI.2015.2500221

Cite this

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title = "Real-time head pose tracking with online face template reconstruction",

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.",

keywords = "deformable face model, Head pose tracking, iterative closest point, RGB-Depth camera",

author = "Songnan Li and Ngan, {King Ngi} and Raveendran Paramesran and Lu Sheng",

note = "Funding Information: This work was partially supported by the Hong Kong Innovation and Technology Commission (Project ITS/070/13) and the University of Malaya, Malaysia (Project UM.C/625/1/HIR/MOHE/ENG/42). Publisher Copyright: {\textcopyright} 2015 IEEE.",

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AU - Ngan, King Ngi

AU - Paramesran, Raveendran

AU - Sheng, Lu

N1 - Funding Information: This work was partially supported by the Hong Kong Innovation and Technology Commission (Project ITS/070/13) and the University of Malaya, Malaysia (Project UM.C/625/1/HIR/MOHE/ENG/42). Publisher Copyright: © 2015 IEEE.

PY - 2016/9/1

Y1 - 2016/9/1

N2 - 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.

AB - 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.

KW - deformable face model

KW - Head pose tracking

KW - iterative closest point

KW - RGB-Depth camera

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DO - 10.1109/TPAMI.2015.2500221

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JO - IEEE Transactions on Pattern Analysis and Machine Intelligence

JF - IEEE Transactions on Pattern Analysis and Machine Intelligence

IS - 9

ER -

Real-time head pose tracking with online face template reconstruction

Abstract

Keywords

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