Learning 3D Head Pose From Synthetic Data: A Semi-Supervised Approach

Learning 3D Head Pose From Synthetic Data: A Semi-Supervised Approach

Accurate head pose estimation from 2D image data is an essential component of applications such as driver monitoring systems, virtual reality technology, and human-computer interaction. It enables a better determination of user engagement and attentiveness. The most accurate head pose estimators are...

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Bibliographic Details
Main Authors: Shubhajit Basak, Peter Corcoran, Faisal Khan, Rachel Mcdonnell, Michael Schukat
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Head pose estimation
synthetic face
face dataset
visual domain adaptation
Online Access:https://ieeexplore.ieee.org/document/9369299/

Internet

https://ieeexplore.ieee.org/document/9369299/

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