A Normalization Strategy for Weakly Supervised 3D Hand Pose Estimation

The effectiveness of deep neural network models is intricately tied to the distribution of training data. However, in pose estimation, potential discrepancies in root joint positions and inherent variability in biomechanical features across datasets are often overlooked in current training strategie...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Zizhao Guo, Jinkai Li, Jiyong Tan
Format:	Article
Language:	English
Published:	MDPI AG 2024-04-01
Subjects:	deep learning hand pose estimation biomechanical variability Hand Pose Biomechanical Model
Online Access:	https://www.mdpi.com/2076-3417/14/9/3578