Zhang, Yiyao 
ORCID: 0000-0003-1166-6935, Chen, Ke ORCID: 0000-0002-6093-6623 and Yang, Shang-Hua
(2022)
Fast Terahertz 3D Super-Resolution Surface Reconstruction by Variational Model from Limited Low-Resolution Sampling.
In: 2022 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz), 2022-8-28 - 2022-9-2.
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2022_Fast Terahertz 3D Reconstruction_Yiyao_SH_revised_v5.pdf - Author Accepted Manuscript Download (169kB) | Preview |
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.
| Item Type: | Conference or Workshop Item (Unspecified) |
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| Additional Information: | (c) 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. |
| Divisions: | Faculty of Science and Engineering > School of Physical Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 09 Jan 2023 10:08 |
| Last Modified: | 15 Mar 2024 17:52 |
| DOI: | 10.1109/IRMMW-THz50927.2022.9895746 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3166800 |
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