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 Texture-Less Objects
About this item
Full title
Author / Creator
Publisher
MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
MDPI AG
Subjects
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
Authors, Artists and Contributors
Author / Creator
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