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Deep Learning for Head Pose Estimation: A Survey

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Bibliographic Details
Main Authors: Andrea, Asperti, Daniele, Filippini
Format: Book
Language:English
Published: Springer 2023
Subjects:
HPE
Deep Learning
Online Access:https://link.springer.com/article/10.1007/s42979-023-01796-z
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8341
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spelling oai:localhost:PNK-83412023-04-27T01:35:23Z Deep Learning for Head Pose Estimation: A Survey Andrea, Asperti Daniele, Filippini HPE Deep Learning CC BY Head pose estimation (HPE) is an active and popular area of research. Over the years, many approaches have constantly been developed, leading to a progressive improvement in accuracy; nevertheless, head pose estimation remains an open research topic, especially in unconstrained environments. In this paper, we will review the increasing amount of available datasets and the modern methodologies used to estimate orientation, with a special attention to deep learning techniques. We will discuss the evolution of the field by proposing a classification of head pose estimation methods, explaining their advantages and disadvantages, and highlighting the different ways deep learning techniques have been used in the context of HPE. An in-depth performance comparison and discussion is presented at the end of the work. We also highlight the most promising research directions for future investigations on the topic. 2023-04-27T01:35:23Z 2023-04-27T01:35:23Z 2023 Book https://link.springer.com/article/10.1007/s42979-023-01796-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8341 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic HPE
Deep Learning
spellingShingle HPE
Deep Learning
Andrea, Asperti
Daniele, Filippini
Deep Learning for Head Pose Estimation: A Survey
description CC BY
format Book
author Andrea, Asperti
Daniele, Filippini
author_facet Andrea, Asperti
Daniele, Filippini
author_sort Andrea, Asperti
title Deep Learning for Head Pose Estimation: A Survey
title_short Deep Learning for Head Pose Estimation: A Survey
title_full Deep Learning for Head Pose Estimation: A Survey
title_fullStr Deep Learning for Head Pose Estimation: A Survey
title_full_unstemmed Deep Learning for Head Pose Estimation: A Survey
title_sort deep learning for head pose estimation: a survey
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s42979-023-01796-z
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8341
_version_ 1764358629897535488
score 8.881002

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