A computer-implemented method for automatically obtaining pose and shape parameters of a human body. The method includes obtaining a sequence of digital 3D images of the body, recorded by at least one depth camera; automatically obtaining pose and shape parameters of the body, based on images of the sequence and a statistical body model; and outputting the pose and shape parameters. The body may be an infant body.
| Author(s): | Nikolas Hesse and Sergi Pujades and Javier Romero and Michael Black |
| Number (issue): | US Patent 11,127,163, 2021 |
| Year: | 2021 |
| Month: | September |
| Bibtex Type: | Patent (patent) |
| Electronic Archiving: | grant_archive |
| State: | Published |
BibTex
@patent{SMIL:Patent:2021,
title = {Skinned multi-infant linear body model},
abstract = {A computer-implemented method for automatically obtaining pose and shape parameters of a human body. The method includes obtaining a sequence of digital 3D images of the body, recorded by at least one depth camera; automatically obtaining pose and shape parameters of the body, based on images of the sequence and a statistical body model; and outputting the pose and shape parameters. The body may be an infant body.},
number = {US Patent 11,127,163, 2021},
month = sep,
year = {2021},
slug = {smil-patent-2021},
author = {Hesse, Nikolas and Pujades, Sergi and Romero, Javier and Black, Michael},
month_numeric = {9}
}