Perceiving Systems Patent 2018

Co-Registration – Simultaneous Alignment and Modeling of Articulated 3D Shapes

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Perceiving Systems
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Perceiving Systems
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Perceiving Systems
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Present application refers to a method, a model generation unit and a computer program (product) for generating trained models (M) of moving persons, based on physically measured person scan data (S). The approach is based on a common template (T) for the respective person and on the measured person scan data (S) in different shapes and different poses. Scan data are measured with a 3D laser scanner. A generic personal model is used for co-registering a set of person scan data (S) aligning the template (T) to the set of person scans (S) while simultaneously training the generic personal model to become a trained person model (M) by constraining the generic person model to be scan-specific, person-specific and pose-specific and providing the trained model (M), based on the co registering of the measured object scan data (S).

Author(s): Black, M.J. and Hirshberg, D. and Loper, M. and Rachlin, E. and Weiss, A.
Year: 2018
Month: February
Bibtex Type: Patent (patent)
Electronic Archiving: grant_archive
Note: U.S. Patent 9,898,848
Links:

BibTex

@patent{Coreg:Patent:2012,
  title = {Co-Registration -- Simultaneous Alignment and Modeling of Articulated {3D} Shapes},
  abstract = {Present application refers to a method, a model generation unit and a computer program (product) for generating trained models (M) of moving persons, based on physically measured person scan data (S). The approach is based on a common template (T) for the respective person and on the measured person scan data (S) in different shapes and different poses. Scan data are measured with a 3D laser scanner. A generic personal model is used for co-registering a set of person scan data (S) aligning the template (T) to the set of person scans (S) while simultaneously training the generic personal model to become a trained person model (M) by constraining the generic person model to be scan-specific, person-specific and pose-specific and providing the trained model (M), based on the co registering of the measured object scan data (S).
  },
  month = feb,
  year = {2018},
  note = {U.S.~Patent 9,898,848},
  slug = {coreg-patent-2012},
  author = {Black, M.J. and Hirshberg, D. and Loper, M. and Rachlin, E. and Weiss, A.},
  month_numeric = {2}
}