Point Cloud Hand–Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover

This paper presents an application of neural networks operating on multimodal 3D data (3D point cloud, RGB, thermal) to effectively and precisely segment human hands and objects held in hand to realize a safe human–robot object handover. We discuss the problems encountered in building a multimodal s...

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Detalles Bibliográficos
Autores principales: Zhang, Yan, Müller, Steffen, Stephan, Benedict, Gross, Horst-Michael, Notni, Gunther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402345/
https://www.ncbi.nlm.nih.gov/pubmed/34451117
http://dx.doi.org/10.3390/s21165676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402345/
https://www.ncbi.nlm.nih.gov/pubmed/34451117
http://dx.doi.org/10.3390/s21165676

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