Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Convolutional Neural Networks Applied to Inline Particle Holography
Luleå University of Technology, Department of Engineering Sciences and Mathematics.
Luleå University of Technology, Department of Engineering Sciences and Mathematics.
Luleå University of Technology, Department of Engineering Sciences and Mathematics.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0002-7706-6994
Show others and affiliations
2020 (English)In: Imaging and Applied Optics Congress, Digital Holography and Three-Dimensional Imaging, Optical Society of America, 2020, article id JW2A.15Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Three-dimensional particle positioning from inline holograms is performed using convolutional neural networks. The faster R-CNN architecture is implemented for multi-particle identification and lateral positioning, and a second network estimates the depth position. Supervised learning is used to train the network using simulated holograms.

Place, publisher, year, edition, pages
Optical Society of America, 2020. article id JW2A.15
National Category
Computer graphics and computer vision
Research subject
Experimental Mechanics; Manufacturing Systems Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-95224DOI: 10.1364/3D.2020.JW2A.15Scopus ID: 2-s2.0-85118612486OAI: oai:DiVA.org:ltu-95224DiVA, id: diva2:1725562
Conference
Imaging and Applied Optics Congress, Washington, DC, United States, June 22-26, 2020
Note

ISBN for host publication: 978-1-943580-77-4

Available from: 2023-01-11 Created: 2023-01-11 Last updated: 2025-02-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Olsson, RobertSjödahl, MikaelÖhman, Johan

Search in DiVA

By author/editor
Deak, Elliot HärenbyOlsson, RobertSjödahl, MikaelÖhman, Johan
By organisation
Department of Engineering Sciences and MathematicsProduct and Production DevelopmentFluid and Experimental Mechanics
Computer graphics and computer vision

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf