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High-Quality 3D Display for Integral Imaging Microscope Using Deep Learning Depth Estimation Algorithm

  • Ki Chul Kwon
  • , Ki Hoon Kwon
  • , Munkh Uchral Erdenebat
  • , Young Tae Lim
  • , Jong Rae Jeong
  • , Min Young Kim
  • , Nam Kim
  • Chungbuk National University
  • Suwon University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The high-quality visualization method for integral imaging microscope using deep learning depth estimation algorithm is proposed. The point cloud model is regenerated from the accurate depth information and a high-resolution image and displayed.

Original languageEnglish
Title of host publication2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780646825045
DOIs
StatePublished - Aug 2020
Event2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Sydney, Australia
Duration: 3 Aug 20205 Aug 2020

Publication series

Name2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Proceedings

Conference

Conference2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020
Country/TerritoryAustralia
CitySydney
Period3/08/205/08/20

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