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GC-MLP: Graph Convolution MLP for Point Cloud Analysis

GC-MLP: Graph Convolution MLP for Point Cloud Analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_acbb5f40607842b89a86f36f76c7099b

GC-MLP: Graph Convolution MLP for Point Cloud Analysis

About this item

Full title

GC-MLP: Graph Convolution MLP for Point Cloud Analysis

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-12, Vol.22 (23), p.9488

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

With the objective of addressing the problem of the fixed convolutional kernel of a standard convolution neural network and the isotropy of features making 3D point cloud data ineffective in feature learning, this paper proposes a point cloud processing method based on graph convolution multilayer perceptron, named GC-MLP. Unlike traditional local...

Alternative Titles

Full title

GC-MLP: Graph Convolution MLP for Point Cloud Analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_acbb5f40607842b89a86f36f76c7099b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_acbb5f40607842b89a86f36f76c7099b

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22239488

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