A Distance Correlation Approach for Optimum Multiscale Selection in 3D Point Cloud Classification

A Distance Correlation Approach for Optimum Multiscale Selection in 3D Point Cloud Classification

Supervised classification of 3D point clouds using machine learning algorithms and handcrafted local features as covariates frequently depends on the size of the neighborhood (scale) around each point used to determine those features. It is therefore crucial to estimate the scale or scales providing...

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Bibliographic Details
Main Authors: Manuel Oviedo-de la Fuente, Carlos Cabo, Celestino Ordóñez, Javier Roca-Pardiñas
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
3D point clouds
multiclass classification
feature selection
distance correlation
functional data
Online Access:https://www.mdpi.com/2227-7390/9/12/1328

Internet

https://www.mdpi.com/2227-7390/9/12/1328

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