Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling

Yiyao Zhang; Ke Chen; Shang Hua Yang

doi:10.1109/IRMMW-THz50927.2022.9895746

Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling

Yiyao Zhang, Ke Chen, Shang Hua Yang

Mathematics And Statistics

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

6 Citations (Scopus)

19 Downloads (Pure)

Abstract

Integrating with the signal processing, inverse Radon transform, and the variational model, the framework at least saving 83% data acquisition time for fast, smooth three-dimensional (3D) reconstruction from the limited dataset is elucidated in the field of terahertz imaging applications. In hot pursuit, under the viewpoint of discrete geometry, the quantifiable comparison for 3D surfaces by computing the standard deviation of mean curvatures is also proposed to show the reconstructed effectiveness from less input with gaps.

Original language	English
Title of host publication	IRMMW-THz 2022 - 47th International Conference on Infrared, Millimeter and Terahertz Waves
Number of pages	2
ISBN (Electronic)	9781728194271
DOIs	https://doi.org/10.1109/IRMMW-THz50927.2022.9895746
Publication status	Published - 26 Sept 2022
Event	47th International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2022 - Delft, Netherlands Duration: 28 Aug 2022 → 2 Sept 2022

Publication series

Name	International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz
Volume	2022-August
ISSN (Print)	2162-2027
ISSN (Electronic)	2162-2035

Conference

Conference	47th International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2022
Country/Territory	Netherlands
City	Delft
Period	28/08/22 → 2/09/22

Keywords

signal processing
3D reconstruction
terahertz imaging applications

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10.1109/IRMMW-THz50927.2022.9895746

Zhang-etal-IRMMW-THz-20220-Fast-terahertz-3D-super-resolution-surface-reconstruction-by-variational-modelAccepted author manuscript, 748 KBLicence: Strath_1

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Zhang, Y., Chen, K., & Yang, S. H. (2022). Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling. In IRMMW-THz 2022 - 47th International Conference on Infrared, Millimeter and Terahertz Waves (International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz; Vol. 2022-August). https://doi.org/10.1109/IRMMW-THz50927.2022.9895746

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abstract = "Integrating with the signal processing, inverse Radon transform, and the variational model, the framework at least saving 83% data acquisition time for fast, smooth three-dimensional (3D) reconstruction from the limited dataset is elucidated in the field of terahertz imaging applications. In hot pursuit, under the viewpoint of discrete geometry, the quantifiable comparison for 3D surfaces by computing the standard deviation of mean curvatures is also proposed to show the reconstructed effectiveness from less input with gaps.",

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author = "Yiyao Zhang and Ke Chen and Yang, {Shang Hua}",

note = "{\textcopyright} 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 47th International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2022 ; Conference date: 28-08-2022 Through 02-09-2022",

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doi = "10.1109/IRMMW-THz50927.2022.9895746",

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Zhang, Y, Chen, K & Yang, SH 2022, Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling. in IRMMW-THz 2022 - 47th International Conference on Infrared, Millimeter and Terahertz Waves. International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, vol. 2022-August, 47th International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2022, Delft, Netherlands, 28/08/22. https://doi.org/10.1109/IRMMW-THz50927.2022.9895746

Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling. / Zhang, Yiyao; Chen, Ke; Yang, Shang Hua.
IRMMW-THz 2022 - 47th International Conference on Infrared, Millimeter and Terahertz Waves. 2022. (International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz; Vol. 2022-August).

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

TY - GEN

T1 - Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling

AU - Zhang, Yiyao

AU - Chen, Ke

AU - Yang, Shang Hua

N1 - © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2022/9/26

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N2 - Integrating with the signal processing, inverse Radon transform, and the variational model, the framework at least saving 83% data acquisition time for fast, smooth three-dimensional (3D) reconstruction from the limited dataset is elucidated in the field of terahertz imaging applications. In hot pursuit, under the viewpoint of discrete geometry, the quantifiable comparison for 3D surfaces by computing the standard deviation of mean curvatures is also proposed to show the reconstructed effectiveness from less input with gaps.

AB - Integrating with the signal processing, inverse Radon transform, and the variational model, the framework at least saving 83% data acquisition time for fast, smooth three-dimensional (3D) reconstruction from the limited dataset is elucidated in the field of terahertz imaging applications. In hot pursuit, under the viewpoint of discrete geometry, the quantifiable comparison for 3D surfaces by computing the standard deviation of mean curvatures is also proposed to show the reconstructed effectiveness from less input with gaps.

KW - signal processing

KW - 3D reconstruction

KW - terahertz imaging applications

UR - https://livrepository.liverpool.ac.uk/3166800/

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Y2 - 28 August 2022 through 2 September 2022

ER -

Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling

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