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Perzeptive Systeme Patent 2020

Machine learning systems and methods of estimating body shape from images

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Perzeptive Systeme
Michael Black
Director
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Perzeptive Systeme
Eric Rachlin
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Perzeptive Systeme
Matthew Loper
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Perzeptive Systeme
Alex Weiss
Patent2020b

Disclosed is a method including receiving an input image including a human, predicting, based on a convolutional neural network that is trained using examples consisting of pairs of sensor data, a corresponding body shape of the human and utilizing the corresponding body shape predicted from the convolutional neural network as input to another convolutional neural network to predict additional body shape metrics.

Author(s): Black, M. and Rachlin, E. and Heron, N. and Loper, M. and Weiss, A. and Hu, K. and Hinkle, T. and Kristiansen, M.
Number (issue): US Patent 10,679,046
Year: 2020
Month: June
Bibtex Type: Patent (patent)
Electronic Archiving: grant_archive

BibTex 

@patent{BodyLabs:Patent:2020,
  title = {Machine learning systems and methods of estimating body shape from images},
  abstract = {Disclosed is a method including receiving an input image including a human, predicting, based on a convolutional neural network that is trained using examples consisting of pairs of sensor data, a corresponding body shape of the human and utilizing the corresponding body shape predicted from the convolutional neural network as input to another convolutional neural network to predict additional body shape metrics.},
  number = {US Patent 10,679,046},
  month = jun,
  year = {2020},
  slug = {bodylabs-patent-2020},
  author = {Black, M. and Rachlin, E. and Heron, N. and Loper, M. and Weiss, A. and Hu, K. and Hinkle, T. and Kristiansen, M.},
  month_numeric = {6}
}