Improving Real-Time Omnidirectional 3D Multi-Person Human Pose Estimation with People Matching and Unsupervised 2D-3D Lifting

no code implementations • 14 Mar 2024 • Pawel Knap, Peter Hardy, Alberto Tamajo, Hwasup Lim, Hansung Kim

Therefore, this paper presents one of the first 3D multi-person human pose estimation systems that is able to work in real-time and is also able to handle basic forms of occlusion.

3D Multi-Person Human Pose Estimation Pose Estimation

Shrinking unit: a Graph Convolution-Based Unit for CNN-like 3D Point Cloud Feature Extractors

1 code implementation • 26 Sep 2022 • Alberto Tamajo, Bastian Plaß, Thomas Klauer

While part of this failure stems from the irregularity, unstructuredness, and disorder of point clouds, which makes the task of point cloud feature detection significantly more challenging than the image one, we argue that a lack of inspiration from the image domain might be the primary cause of such a gap.