Single-Shot 3D Reconstruction via Nonlinear Fringe Transformation: Supervised and Unsupervised Learn...
Single-Shot 3D Reconstruction via Nonlinear Fringe Transformation: Supervised and Unsupervised Learning Approaches
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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The field of computer vision has been focusing on achieving accurate three-dimensional (3D) object representations from a single two-dimensional (2D) image through deep artificial neural networks. Recent advancements in 3D shape reconstruction techniques that combine structured light and deep learning show promise in acquiring high-quality geometri...
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Full title
Single-Shot 3D Reconstruction via Nonlinear Fringe Transformation: Supervised and Unsupervised Learning Approaches
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TN_cdi_doaj_primary_oai_doaj_org_article_2c748be4438d4a30ac15b6724dce2b1a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2c748be4438d4a30ac15b6724dce2b1a
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24103246
