SOTAVerified

RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond

2025-03-27Code Available0· sign in to hype

Daniel Bermuth, Alexander Poeppel, Wolfgang Reif

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

The integration of multi-view imaging and pose estimation represents a significant advance in computer vision applications, offering new possibilities for understanding human movement and interactions. This work presents a new algorithm that improves multi-view multi-person pose estimation, focusing on fast triangulation speeds and good generalization capabilities. The approach extends to whole-body pose estimation, capturing details from facial expressions to finger movements across multiple individuals and viewpoints. Adaptability to different settings is demonstrated through strong performance across unseen datasets and configurations. To support further progress in this field, all of this work is publicly accessible.

Tasks

Benchmark Results

DatasetModelMetricClaimedVerifiedStatus
PanopticRapidPoseTriangulation (without training)Average MPJPE (mm)30.5Unverified
ShelfRapidPoseTriangulation (with corrected labels)PCP3D100Unverified

Reproductions