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

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

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 a...

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Bibliographic Details
Main Authors: Wanli Zhao, Shutong Wang, Xiaoguang Wang, Duantengchuan Li, Jing Wang, Chenghang Lai, Xiaoxue Li
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Head pose estimation
Label distribution learning
Gaussian distribution
Asymmetric
Feature similarity
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823004238

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http://www.sciencedirect.com/science/article/pii/S1319157823004238

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