Web: http://arxiv.org/abs/2205.05677

May 12, 2022, 1:10 a.m. | Soshi Shimada, Vladislav Golyanik, Patrick Pérez, Weipeng Xu, Christian Theobalt

cs.CV updates on arXiv.org arxiv.org

Marker-less monocular 3D human motion capture (MoCap) with scene interactions
is a challenging research topic relevant for extended reality, robotics and
virtual avatar generation. Due to the inherent depth ambiguity of monocular
settings, 3D motions captured with existing methods often contain severe
artefacts such as incorrect body-scene inter-penetrations, jitter and body
floating. To tackle these issues, we propose HULC, a new approach for 3D human
MoCap which is aware of the scene geometry. HULC estimates 3D poses and dense
body-environment …

3d arxiv cv guidance human manifold motion capture sampling

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