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Gaze in the Dark: Gaze Estimation in a Low-Light Environment with Generative Adversarial Networks

Gaze in the Dark: Gaze Estimation in a Low-Light Environment with Generative Adversarial Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b93670537a964428bff613b09a1c9fb2

Gaze in the Dark: Gaze Estimation in a Low-Light Environment with Generative Adversarial Networks

About this item

Full title

Gaze in the Dark: Gaze Estimation in a Low-Light Environment with Generative Adversarial Networks

Author / Creator

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2020-08, Vol.20 (17), p.4935

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In smart interactive environments, such as digital museums or digital exhibition halls, it is important to accurately understand the user’s intent to ensure successful and natural interaction with the exhibition. In the context of predicting user intent, gaze estimation technology has been considered one of the most effective indicators among recen...

Alternative Titles

Full title

Gaze in the Dark: Gaze Estimation in a Low-Light Environment with Generative Adversarial Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b93670537a964428bff613b09a1c9fb2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b93670537a964428bff613b09a1c9fb2

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20174935

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