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DADL: Double Asymmetric Distribution Learning for head pose estimation in wisdom museum

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成果类型:
期刊论文
作者:
Zhao, Wanli;Wang, Shutong;Wang, Xiaoguang;Li, Duantengchuan;Wang, Jing;...
通讯作者:
Wang, XG
作者机构:
[Wang, Xiaoguang; Zhao, Wanli; Wang, Shutong; Wang, XG] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
[Wang, Shutong] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
[Li, Duantengchuan] Wuhan Univ, Sch Comp Sci, Wuhan 430072, Peoples R China.
[Wang, Jing] Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing 400065, Peoples R China.
[Wang, Xiaoguang; Wang, XG; Wang, Jing] Wuhan Univ, Intellectual Comp Lab Cultural Heritage, Wuhan 430072, Peoples R China.
通讯机构:
[Wang, XG ] W
Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
Wuhan Univ, Intellectual Comp Lab Cultural Heritage, Wuhan 430072, Peoples R China.
语种:
英文
关键词:
Head pose estimation;Label distribution learning;Gaussian distribution;Asymmetric;Feature similarity
期刊:
Journal of King Saud University - Computer and Information Sciences
ISSN:
1319-1578
年:
2024
卷:
36
期:
1
页码:
101869
基金类别:
Major Project of the National Social Science Fund [21ZD334]; National Key R&D Program of China [2022YFF0901902]; Open Research Fund of Intellectual Computing Laboratory for Cultural Heritage of Wuhan University [2023ICLCH009]
机构署名:
本校为其他机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Head pose estimation plays a pivotal role in various applications, including augmented reality and human–computer interaction within intelligent museum environments. Head pose estimation conventionally relies on hard labels. However, acquiring the “ground truth” through subjective means introduces an element of uncertainty into the labels for head pose estimation. The introduction of soft labels offers a potential remedy for this uncertainty. However, existing head pose estimation methods based on soft labels neglect the asymmetry of head po...

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