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3D Poses in the Wild Dataset

2018-09-12


The "3D Poses in the Wild dataset" is the first dataset with monocular hand-held video together with accurate 3D human poses for evaluation. Our method combines video and IMU to recover accurate 3D human body models and their projection into the video sequences. The dataset includes: 60 video sequences; 2D pose annotations; 3D poses obtained with our method; Camera poses for every frame in the sequences; 3D body scans; and 18 3D human models with different clothing variations.

The "3D Poses in the Wild dataset" is the first dataset with monocular hand-held video together with accurate 3D human poses for evaluation. Our method combines video and IMU to recover accurate 3D human body models and their projection into the video sequences.

The dataset includes:

  • 60 video sequences.
  • 2D pose annotations.
  • 3D poses obtained with our method.
  • Camera poses for every frame in the sequences.
  • 3D body scans and 18 3D human models with different clothing variations.

Author(s): Timo von Marcard and Roberto Henschel and Michael Black and Bodo Rosenhahn and Gerard Pons-Moll
Department(s): Perceiving Systems
Publication(s): Recovering Accurate {3D} Human Pose in The Wild Using {IMUs} and a Moving Camera
Authors: Timo von Marcard and Roberto Henschel and Michael Black and Bodo Rosenhahn and Gerard Pons-Moll
Release Date: 2018-09-12
External Link: http://virtualhumans.mpi-inf.mpg.de/3DPW/