Continuous Head Pose Estimation Using Manifold Subspace Embedding and Multivariate Regression

Continuous Head Pose Estimation Using Manifold Subspace Embedding and Multivariate Regression

In this paper, a continuous head pose estimation system is proposed to estimate yaw and pitch head angles from raw facial images. Our approach is based on manifold learning-based methods, due to their promising generalization properties shown for face modeling from images. The method combines histog...

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Bibliographic Details
Main Authors: Katerine Diaz-Chito, Jesus Martinez Del Rincon, Aura Hernandez-Sabate, Debora Gil
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Head pose estimation
HOG features
generalized discriminative common vectors
B-splines
multiple linear regression
Online Access:https://ieeexplore.ieee.org/document/8319987/

Internet

https://ieeexplore.ieee.org/document/8319987/

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