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3D landmark‐based face restoration for recognition using variational autoencoder and triplet loss

3D landmark‐based face restoration for recognition using variational autoencoder and triplet loss

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_70bc50bff9804803a7d794f95d0c3e6d

3D landmark‐based face restoration for recognition using variational autoencoder and triplet loss

About this item

Full title

3D landmark‐based face restoration for recognition using variational autoencoder and triplet loss

Author / Creator

Publisher

Stevenage: John Wiley & Sons, Inc

Journal title

IET biometrics, 2021-01, Vol.10 (1), p.87-98

Language

English

Formats

Publication information

Publisher

Stevenage: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Restoration of a 3D face from the mesh image is highly demanded in computer vision applications. 3D face restoration is a challenging task due to the variation of expression, poses, intrinsic geometries, and textures. The proposed technique consists of two main components, namely face restoration and recognition. A novel three‐dimensional (3D) land...

Alternative Titles

Full title

3D landmark‐based face restoration for recognition using variational autoencoder and triplet loss

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_70bc50bff9804803a7d794f95d0c3e6d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_70bc50bff9804803a7d794f95d0c3e6d

Other Identifiers

ISSN

2047-4946,2047-4938

E-ISSN

2047-4946

DOI

10.1049/bme2.12005

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