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A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting

A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22db990f70274e06b0398c5e97fe1b6f

A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting

About this item

Full title

A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting

Author / Creator

Publisher

Switzerland: MDPI AG

Journal title

Entropy (Basel, Switzerland), 2024-08, Vol.26 (9), p.717

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Automated generation of geometric models from point cloud data holds significant importance in the field of computer vision and has expansive applications, such as shape modeling and object recognition. However, prevalent methods exhibit accuracy issues. In this study, we introduce a novel hierarchical neural network that utilizes recursive PointCo...

Alternative Titles

Full title

A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_22db990f70274e06b0398c5e97fe1b6f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22db990f70274e06b0398c5e97fe1b6f

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e26090717

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