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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Vydané v:	IEEE robotics and automation letters Ročník 7; číslo 2; s. 2162 - 2169
Hlavní autori:	Yu, Hyeonwoo, Oh, Jean
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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