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High-Precision 3D Reconstruction Study with Emphasis on Refractive Calibration of GelStereo-Type Sensors

GelStereo sensing technology is capable of performing three-dimensional (3D) contact shape measurement under various contact structures such as bionic curved surfaces, which has promising advantages in the field of visuotactile sensing. However, due to multi-medium ray refraction in the imaging syst...

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Autores principales: Zhang, Chaofan, Cui, Shaowei, Wang, Shuo, Hu, Jingyi, Huangfu, Yipeng, Zhang, Boyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007575/
https://www.ncbi.nlm.nih.gov/pubmed/36904879
http://dx.doi.org/10.3390/s23052675
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author Zhang, Chaofan
Cui, Shaowei
Wang, Shuo
Hu, Jingyi
Huangfu, Yipeng
Zhang, Boyue
author_facet Zhang, Chaofan
Cui, Shaowei
Wang, Shuo
Hu, Jingyi
Huangfu, Yipeng
Zhang, Boyue
author_sort Zhang, Chaofan
collection PubMed
description GelStereo sensing technology is capable of performing three-dimensional (3D) contact shape measurement under various contact structures such as bionic curved surfaces, which has promising advantages in the field of visuotactile sensing. However, due to multi-medium ray refraction in the imaging system, robust and high-precision tactile 3D reconstruction remains a challenging problem for GelStereo-type sensors with different structures. In this paper, we first propose a universal Refractive Stereo Ray Tracing (RSRT) model for GelStereo-type sensing systems to realize 3D reconstruction of the contact surface. Moreover, a relative geometry-based optimization method is presented to calibrate multiple parameters of the proposed RSRT model, such as the refractive indices and structural dimensions. Furthermore, extensive quantitative calibration experiments are performed on four different GelStereo sensing platforms; the experimental results show that the proposed calibration pipeline can achieve less than 0.35 mm in Euclidean distance error, based on which we believe that the proposed refractive calibration method can be further applied in more complex GelStereo-type and other similar visuotactile sensing systems. Such high-precision visuotactile sensors can facilitate the study of robotic dexterous manipulation.
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spelling pubmed-100075752023-03-12 High-Precision 3D Reconstruction Study with Emphasis on Refractive Calibration of GelStereo-Type Sensors Zhang, Chaofan Cui, Shaowei Wang, Shuo Hu, Jingyi Huangfu, Yipeng Zhang, Boyue Sensors (Basel) Article GelStereo sensing technology is capable of performing three-dimensional (3D) contact shape measurement under various contact structures such as bionic curved surfaces, which has promising advantages in the field of visuotactile sensing. However, due to multi-medium ray refraction in the imaging system, robust and high-precision tactile 3D reconstruction remains a challenging problem for GelStereo-type sensors with different structures. In this paper, we first propose a universal Refractive Stereo Ray Tracing (RSRT) model for GelStereo-type sensing systems to realize 3D reconstruction of the contact surface. Moreover, a relative geometry-based optimization method is presented to calibrate multiple parameters of the proposed RSRT model, such as the refractive indices and structural dimensions. Furthermore, extensive quantitative calibration experiments are performed on four different GelStereo sensing platforms; the experimental results show that the proposed calibration pipeline can achieve less than 0.35 mm in Euclidean distance error, based on which we believe that the proposed refractive calibration method can be further applied in more complex GelStereo-type and other similar visuotactile sensing systems. Such high-precision visuotactile sensors can facilitate the study of robotic dexterous manipulation. MDPI 2023-02-28 /pmc/articles/PMC10007575/ /pubmed/36904879 http://dx.doi.org/10.3390/s23052675 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Chaofan
Cui, Shaowei
Wang, Shuo
Hu, Jingyi
Huangfu, Yipeng
Zhang, Boyue
High-Precision 3D Reconstruction Study with Emphasis on Refractive Calibration of GelStereo-Type Sensors
title High-Precision 3D Reconstruction Study with Emphasis on Refractive Calibration of GelStereo-Type Sensors
title_full High-Precision 3D Reconstruction Study with Emphasis on Refractive Calibration of GelStereo-Type Sensors
title_fullStr High-Precision 3D Reconstruction Study with Emphasis on Refractive Calibration of GelStereo-Type Sensors
title_full_unstemmed High-Precision 3D Reconstruction Study with Emphasis on Refractive Calibration of GelStereo-Type Sensors
title_short High-Precision 3D Reconstruction Study with Emphasis on Refractive Calibration of GelStereo-Type Sensors
title_sort high-precision 3d reconstruction study with emphasis on refractive calibration of gelstereo-type sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007575/
https://www.ncbi.nlm.nih.gov/pubmed/36904879
http://dx.doi.org/10.3390/s23052675
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