Analysis of 3D image reconstruction for spherical object using convolutional neural network in digital holography

Wooyoung Jeong, Kyungchan Son, Wonseok Jeon, Hyunseok Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

3D depth measurement of object using digital holography is difficult to be realized because of the wavelength shorter than the depth of the object. In this paper, 3D image reconstruction of spherical object for digital holography is analyzed using convolutional neural network.

Original languageEnglish
Title of host publication3D Image Acquisition and Display
Subtitle of host publicationTechnology, Perception and Applications, 3D 2018
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
Publication statusPublished - 2018 Jan 1
Event3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018 - Orlando, United States
Duration: 2018 Jun 252018 Jun 28

Publication series

NameOptics InfoBase Conference Papers
VolumePart F95-3D 2018

Other

Other3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018
CountryUnited States
CityOrlando
Period18/6/2518/6/28

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

Cite this

Jeong, W., Son, K., Jeon, W., & Yang, H. (2018). Analysis of 3D image reconstruction for spherical object using convolutional neural network in digital holography. In 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018 (Optics InfoBase Conference Papers; Vol. Part F95-3D 2018). OSA - The Optical Society. https://doi.org/10.1364/3D.2018.JTu4A.24