Real-Time Reinforcement Learning for Optimal Viewpoint Selection in Monocular 3D Human Pose Estimation

Real-Time Reinforcement Learning for Optimal Viewpoint Selection in Monocular 3D Human Pose Estimation

Monocular 3D human pose estimation (HPE) presents an inherently ill-posed challenge, complicated by issues such as depth ambiguity and uncertainty. Estimating 3D poses with a single camera heavily depends on viewpoint, resulting in poor pose estimation accuracy. To address these challenges, we propo...

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Bibliographic Details
Main Authors: Sanghyeon Lee, Yoonho Hwang, Jong Taek Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
3D human pose estimation
next best viewpoint selection
deep learning
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/10787005/
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https://ieeexplore.ieee.org/document/10787005/

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