articleACM Transactions on GraphicsNov 20, 2017BRONZE OA

Embodied hands

Boyds (United Kingdom) · Max Planck Institute for Intelligent Systems

Indexed inarxivcrossref

Abstract

Humans move their hands and bodies together to communicate and solve tasks. Capturing and replicating such coordinated activity is critical for virtual characters that behave realistically. Surprisingly, most methods treat the 3D modeling and tracking of bodies and hands separately. Here we formulate a model of hands and bodies interacting together and fit it to full-body 4D sequences. When scanning or capturing the full body in 3D, hands are small and often partially occluded, making their shape and pose hard to recover. To cope with low-resolution, occlusion, and noise, we develop a new model called MANO ( hand Model with Articulated and Non-rigid defOrmations ). MANO is learned from around 1000…

Citation impact

1,024
total citations
FWCI
19.13
Percentile
100%
References
97
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Artificial intelligence
  • Computer vision
  • Computer graphics
  • Computer graphics (images)
  • Articulated body pose estimation
  • Motion capture
  • Pose
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