Synthesising 2d video from 3d motion data for machine learning applications

HIGHLIGHTS

  • who: Marion Mundt et al. from the and, Law School, The University of Western Australia have published the research: Synthesising 2D Video from 3D Motion Data for Machine Learning Applications, in the Journal: Sensors 2022, 22, 6522. of 29/08/2022
  • what: To increase the utility of legacy gold-standard three-dimensional (3D) motion capture datasets for computer vision-based machine learning applications this study proposed and validated a method to synthesise two-dimensional (2D) video image frames from historic 3D motion data. The aim of this paper is to present a novel method and . . .

     

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