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Evaluating Feature Extraction Methods with Synthetic Noise Patterns for Image-Based Modelling of Tex...

Evaluating Feature Extraction Methods with Synthetic Noise Patterns for Image-Based Modelling of Tex...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_77f35beebd3d489580427a5847e49ca7

Evaluating Feature Extraction Methods with Synthetic Noise Patterns for Image-Based Modelling of Texture-Less Objects

About this item

Full title

Evaluating Feature Extraction Methods with Synthetic Noise Patterns for Image-Based Modelling of Texture-Less Objects

Publisher

MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (23), p.3886

Language

English

Formats

Publication information

Publisher

MDPI AG

More information

Scope and Contents

Contents

Image-based three-dimensional (3D) reconstruction is a process of extracting 3D information from an object or entire scene while using low-cost vision sensors. A structure-from-motion coupled with multi-view stereo (SFM-MVS) pipeline is a widely used technique that allows 3D reconstruction from a collection of unordered images. The SFM-MVS pipeline...

Alternative Titles

Full title

Evaluating Feature Extraction Methods with Synthetic Noise Patterns for Image-Based Modelling of Texture-Less Objects

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_77f35beebd3d489580427a5847e49ca7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_77f35beebd3d489580427a5847e49ca7

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs12233886

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