Cargando…
MTGEA: A Multimodal Two-Stream GNN Framework for Efficient Point Cloud and Skeleton Data Alignment
Because of societal changes, human activity recognition, part of home care systems, has become increasingly important. Camera-based recognition is mainstream but has privacy concerns and is less accurate under dim lighting. In contrast, radar sensors do not record sensitive information, avoid the in...
Autores principales: | Lee, Gawon, Kim, Jihie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007531/ https://www.ncbi.nlm.nih.gov/pubmed/36904990 http://dx.doi.org/10.3390/s23052787 |
Ejemplares similares
-
Skeletonization of Plant Point Cloud Data Using Stochastic Optimization Framework
por: Chaudhury, Ayan, et al.
Publicado: (2020) -
Representing living architecture through skeleton reconstruction from point clouds
por: Middleton, Wilfrid, et al.
Publicado: (2022) -
ATLAS GNN Flavour Tagging
por: Van Stroud, Samuel
Publicado: (2023) -
Quantum GNN and hybrid data embedding for particle tracking
por: Tuysuz, Cenk, et al.
Publicado: (2021) -
Deep Global Features for Point Cloud Alignment
por: Khazari, Ahmed El, et al.
Publicado: (2020)