Three-dimensional human pose estimation based on improved semantic graph convolution neural networks
Author:
Affiliation:
1. Shaanxi Normal University, School of Computer Science, Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an, China
Funder
National Natural Science Foundation of China
Publisher
SPIE-Intl Soc Optical Eng
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Reference36 articles.
1. Part-aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking
2. Pose Guided Person Image Generation Based on Pose Skeleton Sequence and 3D Convolution
3. Human Computer Interaction with Head Pose, Eye Gaze and Body Gestures
4. Coarse-to-fine volumetric prediction for single-image 3D human pose;Pavlakos,2017
5. Conditional directed graph convolution for 3D human pose estimation;Hu,2021
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