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Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks

Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e3186a350994e499f33a46595f5a50d

Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks

About this item

Full title

Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2020-07, Vol.20 (13), p.3718

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Single-shot 3D imaging and shape reconstruction has seen a surge of interest due to the ever-increasing evolution in sensing technologies. In this paper, a robust single-shot 3D shape reconstruction technique integrating the structured light technique with the deep convolutional neural networks (CNNs) is proposed. The input of the technique is a si...

Alternative Titles

Full title

Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7e3186a350994e499f33a46595f5a50d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e3186a350994e499f33a46595f5a50d

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20133718

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