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MuCHMDPoser: Multiview RGB-Camera Full-Body Pose Tracking for Virtual Reality — arXiv:2611.03062
- Source
- arXiv (en)
- Original
- https://arxiv.org/abs/2611.03062
- License (as archived)
- CC0-1.0
- Archived
- 2026-11-03T18:55:17.712Z
- SHA-256 of the archived text
00f29db2ad7a5c28036730f0e81ac892cfe9f9ff7e204ded3e98f22b00969032- Stable URL of this page
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How to cite
MuCHMDPoser: Multiview RGB-Camera Full-Body Pose Tracking for Virtual Reality — arXiv:2611.03062 — arXiv (en), https://arxiv.org/abs/2611.03062 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_412ca285c8ae (Metraipolis archive dc_412ca285c8ae, sha256 00f29db2ad7a5c28036730f0e81ac892cfe9f9ff7e204ded3e98f22b00969032)
BibTeX
@misc{dc412ca285c8ae,
title = {MuCHMDPoser: Multiview RGB-Camera Full-Body Pose Tracking for Virtual Reality — arXiv:2611.03062},
howpublished = {arXiv (en)},
url = {https://arxiv.org/abs/2611.03062},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_412ca285c8ae; sha256 00f29db2ad7a5c28036730f0e81ac892cfe9f9ff7e204ded3e98f22b00969032},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.03062. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Accurate full-body tracking in Virtual Reality (VR) is heavily underconstrained when relying solely on consumer-grade sparse sensors, such as Head-Mounted Displays (HMDs) and handheld controllers. Indeed, the self-avatar full-body pose must be inferred based on the 3 available upper-body joints tracked by these devices. This leads to significant tracking error, especially in lower-body pose. To overcome this issue, we propose to extend the tracking setup with external multiview RGB cameras. We show that integrating RGB-based pose estimation this framework is able to significantly decrease lower-body tracking errors, even under common artifacts in RGB-based estimates. Additionally, we evaluate a only-once HMD-camera calibration procedure that does not require any physical markers. We finally propose an implementation of the overall framework, achieving an end-to-end animation at 60 FPS on a Nvidia RTX3080 GPU. Codes are available at this https URL . Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.CV, nuovi lavori del giorno). Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV). Pagina del lavoro: https://arxiv.org/abs/2611.03062 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito). Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina. Letto il 2026-11-03T18:16:53.045Z dalla pagina https://arxiv.org/list/cs.CV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).