Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Training

arXiv:2404.19279v1 Announce Type: new
Abstract: 3D human pose estimation is a vital task in computer vision, involving the prediction of human joint positions from images or videos to reconstruct a skeleton of a human in three-dimensional space. This technology is pivotal in various fields, including animation, security, human-computer interaction, and automotive safety, where it promotes both technological progress and enhanced human well-being. The advent of deep learning significantly advances the performance of 3D pose estimation by incorporating temporal information for …

abstract animation arxiv computer computer vision cs.cv fields human human-computer interaction images pivotal prediction security semi-supervised space supervised training technology three-dimensional training type videos vision vital