English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis

MPS-Authors
/persons/resource/persons217607

Pujades,  Sergi
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons75293

Black,  Michael J.
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Hesse, N., Pujades, S., Romero, J., Black, M. J., Bodensteiner, C., Arens, M., et al. (2018). Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis. In A. Frangi, J. Schnabel, C. Davatzikos, C. Alberola-López, & G. Fichtinger (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 (pp. 792-800). Cham: Springer. doi:10.1007/978-3-030-00928-1_89.


Cite as: https://hdl.handle.net/21.11116/0000-0003-6E5B-D
Abstract
There is no abstract available