Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/263182
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Body size and depth disambiguation in multi-person reconstruction from single images |
Autor: | Ugrinovic, Nicolás CSIC ORCID; Ruiz Ovejero, Adrià CSIC; Agudo, Antonio CSIC ORCID ; Sanfeliu, Alberto CSIC ORCID ; Moreno-Noguer, Francesc CSIC ORCID | Palabras clave: | Multi-person 3D pose estimation SMPL Pose and shape Optimization Gradient descent |
Fecha de publicación: | 2021 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | International Conference on 3D Vision (3DV) (2021) | Resumen: | We address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple times for the same scene, recent works have shown the advantages of building upon deep architectures that simultaneously reason about all people in the scene in a holistic manner by enforcing, e.g., depth order constraints or minimizing interpenetration among reconstructed bodies. However, existing approaches are still unable to capture the size variability of people caused by the inherent body scale and depth ambiguity. In this work we tackle this challenge by devising a novel optimization scheme that learns the appropriate body scale and relative camera pose, by enforcing the feet of all people to remain on the ground floor. A thorough evaluation on MuPoTS-3D and 3DPW datasets demonstrates that our approach is able to robustly estimate the body translation and shape of multiple people while retrieving their spatial arrangement, consistently improving current state-of-the-art, especially in scenes with people of very different heights. | Descripción: | Trabajo presentado en la 9th International Conference on 3D Vision, celebrada online del 1 al 3 de diciembre de 2021 | Versión del editor: | http://dx.doi.org/10.1109/3DV53792.2021.00016 | URI: | http://hdl.handle.net/10261/263182 | DOI: | 10.1109/3DV53792.2021.00016 | Identificadores: | doi: 10.1109/3DV53792.2021.00016 issn: 2475-7888 |
Aparece en las colecciones: | (IRII) Comunicaciones congresos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
2509-Body-Size-and-Depth-Disambiguation-in-Multi-Person-Reconstruction-from-Single-Images.pdf | 7,78 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
22
checked on 01-may-2024
Download(s)
28
checked on 01-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.