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

科研成果: 期刊稿件 › 文章 › 同行评审

31 引用（Scopus）

摘要

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.

源语言	英语
文章编号	7328312
页（从-至）	1922-1928
页数	7
期刊	IEEE Transactions on Pattern Analysis and Machine Intelligence
卷	38
期	9
DOI	https://doi.org/10.1109/TPAMI.2015.2500221
出版状态	已出版 - 1 9月 2016
已对外发布	是

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10.1109/TPAMI.2015.2500221

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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 = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

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AU - Li, Songnan

AU - Ngan, King Ngi

AU - Paramesran, Raveendran

AU - Sheng, Lu

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

UR - https://www.scopus.com/pages/publications/84981276091

U2 - 10.1109/TPAMI.2015.2500221

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M3 - 文章

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Real-Time Head Pose Tracking with Online Face Template Reconstruction

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