AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds

This paper presents a neural network for robust normal estimation on point clouds, named AdaFit, that can deal with point clouds with noise and density variations. Existing works use a network to learn point-wise weights for weighted least squares surface fitting to estimate the normals, which has d...

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Veröffentlicht in:	arXiv.org 2021-08
Hauptverfasser:	Zhu, Runsong, Liu, Yuan, Dong, Zhen, Jiang, Tengping, Wang, Yuan, Wang, Wenping, Yang, Bisheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Least squares Neural networks Outliers (statistics) Polynomials
Online-Zugang:	Volltext
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