PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation

PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation

This paper tackles a novel and challenging problem—3D hand pose estimation (HPE) from a single RGB image using partial annotation. Most HPE methods ignore the fact that the keypoints could be partially visible (e.g., under occlusions). In contrast, we propose a deep-learning framework, PA-Tran, that...

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Bibliographic Details
Main Authors: Tianze Yu, Luke Bidulka, Martin J. McKeown, Z. Jane Wang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
3D hand pose estimation
single RGB image
partial annotation
transformer
synthetic dataset
PD (Parkinson’s disease) hand dataset
Online Access:https://www.mdpi.com/1424-8220/23/3/1555

Internet

https://www.mdpi.com/1424-8220/23/3/1555

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