Non-Stationary Representation for Continuity Aware Head Pose Estimation Via Deep Neural Decision Trees

Non-Stationary Representation for Continuity Aware Head Pose Estimation Via Deep Neural Decision Trees

The problem of image-based head pose estimation attracts intensive attention due to a large number of applications such as face analysis and attention modeling. Existing methods often convert head pose estimation into the pose classification problem, but ignored the non-stationary appearance change...

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Bibliographic Details
Main Authors: Jiang Wang, Farhan Ullah, Ying Cai, Jing Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Head pose estimation
convolutional neural network
neural decision tree
continuity
template marching based alignment
Online Access:https://ieeexplore.ieee.org/document/8932455/

Internet

https://ieeexplore.ieee.org/document/8932455/

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