Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network

Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network

Head pose estimation is an important sign in helping robots and other intelligence machines understand human. It plays a vital role in designing human computer interaction systems because many applications rely on precise results of head pose angles such as human behavior analysis, gaze estimation,...

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Bibliographic Details
Main Authors: Minh Thanh Vo, Trang Nguyen, Tuong Le
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Head pose estimation
autoencoder
feature reduction
gradient boosting
global features
Online Access:https://ieeexplore.ieee.org/document/8945218/

Internet

https://ieeexplore.ieee.org/document/8945218/

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