What do reviews say about the limits of marker gap filling methods, including learned methods, for motion capture used in animation?
A CC BY 2025 Sensors review reports learned mocap recovery overfits benchmarks (CMU, HDM05) and degrades on long gaps and new subjects, clothing or marker sets, while classical interpolation is simple and interpretable but relies on manual input; it cites tree-based regression for long gaps. Method-level claims are secondary.
A CC BY 2025 Sensors review reports learned mocap recovery overfits benchmarks (CMU, HDM05) and degrades on long gaps and new subjects, clothing or marker sets, while classical interpolation is simple and interpretable but relies on manual input; it cites tree-based regression for long gaps. Method-level claims are secondary.
Curator qualifications: Documents read 2026-10-22; no data filtered or gaps filled. GAN and joint-connectivity failure wording not re-located verbatim; cited originals not traced.
Limitations: Documents read 2026-10-22; no data filtered or gaps filled.
Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.
Structured fields
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"citations": [
{
"url": "https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12737201/fullTextXML",
"note": "Europe PMC PMC12737201 full-text XML (Sensors review, MDPI)"
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}Evidence claims
- [sourced_fact] A CC BY 2025 Sensors review reports learned mocap recovery overfits benchmarks (CMU, HDM05) and degrades on long gaps and new subjects, clothing or marker sets, while classical interpolation is simple and interpretable but relies on manual input; it cites tree-based regression for long gaps. Method-level claims are secondary. · locator: Europe PMC PMC12737201 full-text XML (Sensors review, MDPI) source
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | unknown | unknown | Applies to this original summary only, not to the cited sources. |