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A 3-D Surface Reconstruction with Shadow Processing for Optical Tactile Sensors
An optical tactile sensor technique with 3-dimension (3-D) surface reconstruction is proposed for robotic fingers. The hardware of the tactile sensor consists of a surface deformation sensing layer, an image sensor and four individually controlled flashing light emitting diodes (LEDs). The image sen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163909/ https://www.ncbi.nlm.nih.gov/pubmed/30149551 http://dx.doi.org/10.3390/s18092785 |
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author | Jiang, Hanjun Yan, Yan Zhu, Xiyang Zhang, Chun |
author_facet | Jiang, Hanjun Yan, Yan Zhu, Xiyang Zhang, Chun |
author_sort | Jiang, Hanjun |
collection | PubMed |
description | An optical tactile sensor technique with 3-dimension (3-D) surface reconstruction is proposed for robotic fingers. The hardware of the tactile sensor consists of a surface deformation sensing layer, an image sensor and four individually controlled flashing light emitting diodes (LEDs). The image sensor records the deformation images when the robotic finger touches an object. For each object, four deformation images are taken with the LEDs providing different illumination directions. Before the 3-D reconstruction, the look-up tables are built to map the intensity distribution to the image gradient data. The possible image shadow will be detected and amended. Then the 3-D depth distribution of the object surface can be reconstructed from the 2-D gradient obtained using the look-up tables. The architecture of the tactile sensor and the proposed signal processing flow have been presented in details. A prototype tactile sensor has been built. Both the simulation and experimental results have validated the effectiveness of the proposed 3-D surface reconstruction method for the optical tactile sensors. The proposed 3-D surface reconstruction method has the unique feature of image shadow detection and compensation, which differentiates itself from those in the literature. |
format | Online Article Text |
id | pubmed-6163909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61639092018-10-10 A 3-D Surface Reconstruction with Shadow Processing for Optical Tactile Sensors Jiang, Hanjun Yan, Yan Zhu, Xiyang Zhang, Chun Sensors (Basel) Article An optical tactile sensor technique with 3-dimension (3-D) surface reconstruction is proposed for robotic fingers. The hardware of the tactile sensor consists of a surface deformation sensing layer, an image sensor and four individually controlled flashing light emitting diodes (LEDs). The image sensor records the deformation images when the robotic finger touches an object. For each object, four deformation images are taken with the LEDs providing different illumination directions. Before the 3-D reconstruction, the look-up tables are built to map the intensity distribution to the image gradient data. The possible image shadow will be detected and amended. Then the 3-D depth distribution of the object surface can be reconstructed from the 2-D gradient obtained using the look-up tables. The architecture of the tactile sensor and the proposed signal processing flow have been presented in details. A prototype tactile sensor has been built. Both the simulation and experimental results have validated the effectiveness of the proposed 3-D surface reconstruction method for the optical tactile sensors. The proposed 3-D surface reconstruction method has the unique feature of image shadow detection and compensation, which differentiates itself from those in the literature. MDPI 2018-08-24 /pmc/articles/PMC6163909/ /pubmed/30149551 http://dx.doi.org/10.3390/s18092785 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jiang, Hanjun Yan, Yan Zhu, Xiyang Zhang, Chun A 3-D Surface Reconstruction with Shadow Processing for Optical Tactile Sensors |
title | A 3-D Surface Reconstruction with Shadow Processing for Optical Tactile Sensors |
title_full | A 3-D Surface Reconstruction with Shadow Processing for Optical Tactile Sensors |
title_fullStr | A 3-D Surface Reconstruction with Shadow Processing for Optical Tactile Sensors |
title_full_unstemmed | A 3-D Surface Reconstruction with Shadow Processing for Optical Tactile Sensors |
title_short | A 3-D Surface Reconstruction with Shadow Processing for Optical Tactile Sensors |
title_sort | 3-d surface reconstruction with shadow processing for optical tactile sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163909/ https://www.ncbi.nlm.nih.gov/pubmed/30149551 http://dx.doi.org/10.3390/s18092785 |
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