SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self

SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self

Scene flow tracks the 3D motion of each point in adjacent point clouds. It provides fundamental 3D motion perception for autonomous driving and server robot. Although red green blue depth (RGBD) camera or light detection and ranging (LiDAR) capture discrete 3D points in space, the objects and motion...

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Bibliographic Details
Main Authors: Guangming Wang, Chaokang Jiang, Zehang Shen, Yanzi Miao, Hesheng Wang
Format: Article
Language:English
Published: Wiley 2022-04-01
Series:Advanced Intelligent Systems
Subjects:
3D point clouds
generative adversarial network
scene flow estimation
soft correspondence
unsupervised learning
Online Access:https://doi.org/10.1002/aisy.202100197

Internet

https://doi.org/10.1002/aisy.202100197

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