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

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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Bibliographic Details
Main Authors: Yan Zhang, Steffen Müller, Benedict Stephan, Horst-Michael Gross, Gunther Notni
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
multimodal imaging
thermal
deep neural network
hand segmentation
point cloud segmentation
Online Access:https://www.mdpi.com/1424-8220/21/16/5676

Internet

https://www.mdpi.com/1424-8220/21/16/5676

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