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

Wooyoung Jeong; Kyungchan Son; Wonseok Jeon; Hyunseok Yang

doi:10.1364/3D.2018.JTu4A.24

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

Wooyoung Jeong, Kyungchan Son, Wonseok Jeon, Hyunseok Yang

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	3D Image Acquisition and Display
Subtitle of host publication	Technology, Perception and Applications, 3D 2018
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580446
DOIs	https://doi.org/10.1364/3D.2018.JTu4A.24
Publication status	Published - 2018
Event	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018 - Orlando, United States Duration: 2018 Jun 25 → 2018 Jun 28

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F95-3D 2018
ISSN (Electronic)	2162-2701

Other

Other	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018
Country/Territory	United States
City	Orlando
Period	18/6/25 → 18/6/28

Bibliographical note

Publisher Copyright:
© 2018 The Author(s).

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Access to Document

10.1364/3D.2018.JTu4A.24

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). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/3D.2018.JTu4A.24

@inproceedings{25dba163973b4c259e5240c4e441bdaa,

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

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.",

author = "Wooyoung Jeong and Kyungchan Son and Wonseok Jeon and Hyunseok Yang",

note = "Publisher Copyright: {\textcopyright} 2018 The Author(s).; 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018 ; Conference date: 25-06-2018 Through 28-06-2018",

year = "2018",

doi = "10.1364/3D.2018.JTu4A.24",

language = "English",

isbn = "9781943580446",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "3D Image Acquisition and Display",

}

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, Optica Publishing Group (formerly OSA), 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018, Orlando, United States, 18/6/25. https://doi.org/10.1364/3D.2018.JTu4A.24

Analysis of 3D image reconstruction for spherical object using convolutional neural network in digital holography. / Jeong, Wooyoung; Son, Kyungchan; Jeon, Wonseok et al.
3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018. Optica Publishing Group (formerly OSA), 2018. (Optics InfoBase Conference Papers; Vol. Part F95-3D 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Analysis of 3D image reconstruction for spherical object using convolutional neural network in digital holography

AU - Jeong, Wooyoung

AU - Son, Kyungchan

AU - Jeon, Wonseok

AU - Yang, Hyunseok

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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U2 - 10.1364/3D.2018.JTu4A.24

DO - 10.1364/3D.2018.JTu4A.24

M3 - Conference contribution

AN - SCOPUS:85051280039

SN - 9781943580446

T3 - Optics InfoBase Conference Papers

BT - 3D Image Acquisition and Display

PB - Optica Publishing Group (formerly OSA)

T2 - 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018

Y2 - 25 June 2018 through 28 June 2018

ER -

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

Abstract

Publication series

Other

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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