Embodied hands
Boyds (United Kingdom) · Max Planck Institute for Intelligent Systems
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
- FWCI
- 19.13
- Percentile
- 100%
- References
- 97
Authors
3Topics & keywords
- Computer science
- Artificial intelligence
- Computer vision
- Computer graphics
- Computer graphics (images)
- Articulated body pose estimation
- Motion capture
- Pose