PVA-GCN: point-voxel absorbing graph convolutional network for 3D human pose estimation from monocular video

The evolution of 3D human pose estimation techniques has seen substantial progress over the past few decades, with notable advancements in accuracy and applications. While recent research primarily aims at enhancing estimated pose performance, it is important to acknowledge the challenges encountere...

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Veröffentlicht in:	Signal, image and video processing image and video processing, 2024-06, Vol.18 (4), p.3627-3641
Hauptverfasser:	Liu, Minghao, Wang, Wenshan, Zhao, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Computer Imaging Computer Science Datasets Filtration Image Processing and Computer Vision Multimedia Information Systems Octrees Original Paper Pattern Recognition and Graphics Pose estimation Signal,Image and Speech Processing Three dimensional models Vision
Online-Zugang:	Volltext
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