LiftPose3D, a deep learning-based approach for transforming 2D to 3D pose in laboratory animals

Markerless 3D pose estimation has become an indispensable tool for kinematic studies of laboratory animals. Most current methods recover 3D pose by multi-view triangulation of deep network-based 2D pose estimates. However, triangulation requires multiple, synchronized cameras and elaborate calibrati...

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Detalles Bibliográficos
Autores principales: Gosztolai, Adam, Günel, Semih, Ríos, Victor Lobato, Abrate, Marco Pietro, Morales, Daniel, Rhodin, Helge, Fua, Pascal, Ramdya, Pavan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611544/
https://www.ncbi.nlm.nih.gov/pubmed/34354294
http://dx.doi.org/10.1038/s41592-021-01226-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611544/
https://www.ncbi.nlm.nih.gov/pubmed/34354294
http://dx.doi.org/10.1038/s41592-021-01226-z

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