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Learning representative viewpoints in 3D shape recognition

Learning representative viewpoints in 3D shape recognition

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2917948297

Learning representative viewpoints in 3D shape recognition

About this item

Full title

Learning representative viewpoints in 3D shape recognition

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

The Visual computer, 2022-11, Vol.38 (11), p.3703-3718

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Adopting many viewpoints and mining the relationship between them, 3D shape recognition inferring the object’s category from 2D rendered images has proven effective. However, using a limited number of general representative viewpoints to form a reasonable expression of the object is a task with both practical and theoretical significance. This pape...

Alternative Titles

Full title

Learning representative viewpoints in 3D shape recognition

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2917948297

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2917948297

Other Identifiers

ISSN

0178-2789

E-ISSN

1432-2315

DOI

10.1007/s00371-021-02203-5

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