Three-dimensional unsupervised probabilistic pose reconstruction (3d-upper) for freely moving animals

HIGHLIGHTS

• who: Aghileh S. Ebrahimi from the DivisionUniversity of have published the Article: Three-dimensional unsupervised probabilistic pose reconstruction (3D-UPPER) for freely moving animals, in the Journal: Scientific Reports Scientific Reports
• what: In the first step the authors assess the possibility that a given pose contains outliers. The authors designed the algorithm with the main aim of obtaining robust estimates of mean pose and eigenposes even from 3D data contaminated by large fractions of outliers and missing values.
• how: The 2D and 3D data were collected respectively from 7 and 15 male adult . . .
  

   

  

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