Anytime 3D Object Reconstruction Using Multi-Modal Variational Autoencoder

For effective human-robot teaming, it is important for the robots to be able to share their visual perception with the human operators. In a harsh remote collaboration setting, data compression techniques such as autoencoder can be utilized to obtain and transmit the data in terms of latent variable...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 7; H. 2; S. 2162 - 2169
Hauptverfasser:	Yu, Hyeonwoo, Oh, Jean
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	3D object reconstruction anytime algorithm Data compression data imputation Data loss Decoding Estimation multi-modal variational autoencoder Real-time systems Robots Shape Three-dimensional displays Training Visual perception Visualization
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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