Synthesising 2D Video from 3D Motion Data for Machine Learning Applications

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. We applied the vide...

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Detalles Bibliográficos
Autores principales: Mundt, Marion, Oberlack, Henrike, Goldacre, Molly, Powles, Julia, Funken, Johannes, Morris, Corey, Potthast, Wolfgang, Alderson, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459679/
https://www.ncbi.nlm.nih.gov/pubmed/36080981
http://dx.doi.org/10.3390/s22176522

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459679/
https://www.ncbi.nlm.nih.gov/pubmed/36080981
http://dx.doi.org/10.3390/s22176522

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