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2023 | OriginalPaper | Chapter

29. Directed Point Clouds Denoising Algorithm Based on Self-learning

Authors : Yijie Fan, Linlin Tang, Yang Liu, Shuhan Qi

Published in: Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Publisher: Springer Nature Singapore

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Abstract

Traditional statistical scan cleaning methods usually make assumptions about the scanned surfaces or noise model, which requires users to manually adjust the settings. The learning-based method needs a data set for training, and the denoising effect of objects outside the data set is general. A self-learning directed point cloud denoising algorithm has been proposed. By introducing the self-learning method without pre training, this method makes denoising and gridding promote each other, and achieves good denoising effect. Our method does not require pretraining or preset parameters and has a good denoising effect on various noises.

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Title: Directed Point Clouds Denoising Algorithm Based on Self-learning
Authors: Yijie Fan
Linlin Tang
Yang Liu
Shuhan Qi
Publisher: Springer Nature Singapore
Book: Advances in Smart Vehicular Technology, Transportation, Communication and Applications
Print ISBN: 978-981-9908-47-9

Electronic ISBN: 978-981-9908-48-6

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-99-0848-6_29

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