Sparse Stereo-Inertial and Monocular-Visual-Inertial Pose Estimation on 3DPW Benchmark

Abstract

Abstract: This report synthesises findings from 6 peer-reviewed papers addressing the following research question: How do multimodal motion capture systems combining sparse IMUs and stereo cameras (e.g., Stereo-Inertial Poser) compare to monocular-visual-inertial systems in terms of pose estimation accuracy (MSE). 14 claims were extracted from source literature; 12 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.3/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

How do multimodal motion capture systems combining sparse IMUs and stereo cameras (e.g., Stereo-Inertial Poser) compare to monocular-visual-inertial systems in terms of pose estimation accuracy (MSE) and computational efficiency on the 3DPW benchmark?

Verification Level

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance