Using a pre-scanned environment point cloud as context reduces ambiguity in full-body pose estimation from sparse VR trackers, improving accuracy over previous methods.
Full- body motion from a single head-mounted device: Generat- ing smpl poses from partial observations
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
Using a pre-scanned environment point cloud as context reduces ambiguity in full-body pose estimation from sparse VR trackers, improving accuracy over previous methods.