HUMANNET—A Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction

Majority of current research focuses on a single static object reconstruction from a given pointcloud. However, the existing approaches are not applicable to real world applications such as dynamic and morphing scene reconstruction. To solve this, we propose a novel two-tiered deep neural network ar...

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Detalles Bibliográficos
Autores principales: Kulikajevas, Audrius, Maskeliunas, Rytis, Damasevicius, Robertas, Scherer, Rafal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229438/
https://www.ncbi.nlm.nih.gov/pubmed/34201039
http://dx.doi.org/10.3390/s21123945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229438/
https://www.ncbi.nlm.nih.gov/pubmed/34201039
http://dx.doi.org/10.3390/s21123945

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