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Novel Handoff Frequency Algorithms for Vehicular Area Networks Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Head Pose Estimation Based on Image Abstraction for Multiclass Classification

Authors : ByungOk Han, Yeong Nam Chae, Yong-Ho Seo, Hyun S. Yang

Published in: Information Technology Convergence

Publisher: Springer Netherlands

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Abstract

We address the problem of head pose estimation from a facial RGB image as a multiclass classification problem. Head pose estimation continues to be a challenge for computer vision systems due to extraneous characteristics and factors that do not contain pose information and affect changing pixel values in a facial image. To achieve robustness against variations in identity, illumination condition, and facial expression, we propose an image abstraction method that can reduce unnecessary information and emphasize important information for facial pose classification. Experiments are conducted to verify that our head pose estimation algorithm is robust against variations in the input images.

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Metadata
Title
Head Pose Estimation Based on Image Abstraction for Multiclass Classification
Authors
ByungOk Han
Yeong Nam Chae
Yong-Ho Seo
Hyun S. Yang
Copyright Year
2013
Publisher
Springer Netherlands
Book
Information Technology Convergence

Print ISBN: 978-94-007-6995-3

Electronic ISBN: 978-94-007-6996-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-94-007-6996-0_98