What is the best triangulation approach for a structured light system?
It has become customary to calibrate a camera-projector pair in a structured light (SL) system as a stereo-vision setup. The 3D reconstruction is carried out by triangulation from the detected point at the camera sensor and its correspondence at the projector DMD. There are several algebraic formula...
- Autores:
-
Meza, Jhacson
Vargas, Raúl
Romero, Lenny A.
Zhang, Song
Marrugo Hernández, Andrés Guillermo
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9538
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9538
- Palabra clave:
- Metrología óptica
Optical Metrology
Reconstrucción 3D
Enfoque de triangulación
3D reconstruction
Triangulation approach
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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dc.title.spa.fl_str_mv |
What is the best triangulation approach for a structured light system? |
title |
What is the best triangulation approach for a structured light system? |
spellingShingle |
What is the best triangulation approach for a structured light system? Metrología óptica Optical Metrology Reconstrucción 3D Enfoque de triangulación 3D reconstruction Triangulation approach |
title_short |
What is the best triangulation approach for a structured light system? |
title_full |
What is the best triangulation approach for a structured light system? |
title_fullStr |
What is the best triangulation approach for a structured light system? |
title_full_unstemmed |
What is the best triangulation approach for a structured light system? |
title_sort |
What is the best triangulation approach for a structured light system? |
dc.creator.fl_str_mv |
Meza, Jhacson Vargas, Raúl Romero, Lenny A. Zhang, Song Marrugo Hernández, Andrés Guillermo |
dc.contributor.author.none.fl_str_mv |
Meza, Jhacson Vargas, Raúl Romero, Lenny A. Zhang, Song Marrugo Hernández, Andrés Guillermo |
dc.subject.keywords.spa.fl_str_mv |
Metrología óptica Optical Metrology Reconstrucción 3D Enfoque de triangulación 3D reconstruction Triangulation approach |
topic |
Metrología óptica Optical Metrology Reconstrucción 3D Enfoque de triangulación 3D reconstruction Triangulation approach |
description |
It has become customary to calibrate a camera-projector pair in a structured light (SL) system as a stereo-vision setup. The 3D reconstruction is carried out by triangulation from the detected point at the camera sensor and its correspondence at the projector DMD. There are several algebraic formulations to obtain the coordinates of the 3D point, especially in the presence of noise. However, it is not clear what is the best triangulation approach. In this study, we aimed to determine the most suitable triangulation method for SL systems in terms of accuracy and execution time. We assess different strategies in which both coordinates in the projector are known (point-point correspondence) and the case in which only the one coordinate in the DMD is known (pointline correspondence). We also introduce the idea of estimating the second projector coordinate with epipolar constraints. We carried out simulations and experiments to evaluate the differences between the triangulation methods, considering the phase-depth sensitivity of the system. Our results show that under suboptimal phasedepth sensitivity conditions, the triangulation method does influence the overall accuracy. Therefore, the system should be arranged for optimal phase-depth sensitivity so that any triangulation method ensures the same accuracy. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-11-04T21:08:17Z |
dc.date.available.none.fl_str_mv |
2020-11-04T21:08:17Z |
dc.date.issued.none.fl_str_mv |
2020-05-18 |
dc.date.submitted.none.fl_str_mv |
2020-11-03 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_8544 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/lecture |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.spa.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
status_str |
publishedVersion |
dc.identifier.citation.spa.fl_str_mv |
Jhacson Meza, Raul Vargas, Lenny A. Romero, Song Zhang, and Andres G. Marrugo "What is the best triangulation approach for a structured light system?", Proc. SPIE 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX, 113970D (18 May 2020); https://doi.org/10.1117/12.2559119 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/9538 |
dc.identifier.doi.none.fl_str_mv |
10.1117/12.2559119 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
identifier_str_mv |
Jhacson Meza, Raul Vargas, Lenny A. Romero, Song Zhang, and Andres G. Marrugo "What is the best triangulation approach for a structured light system?", Proc. SPIE 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX, 113970D (18 May 2020); https://doi.org/10.1117/12.2559119 10.1117/12.2559119 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/9538 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_14cb |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/closedAccess |
eu_rights_str_mv |
closedAccess |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_14cb |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
dc.source.spa.fl_str_mv |
Proceedings Volume 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX; 113970D (2020) |
institution |
Universidad Tecnológica de Bolívar |
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Meza, Jhacsonf82caa3d-d398-4c7c-8651-1d32adcd8925Vargas, Raúl7ed74a59-2212-4695-92fb-306ef719f47dRomero, Lenny A.4e34aa8a-f981-4e1d-ae32-d45acb6abcf9Zhang, Song21575f5c-6086-4494-bdc6-f08c810268d2Marrugo Hernández, Andrés Guillermo202eb167-fa09-441e-a322-6ec0f49ce7132020-11-04T21:08:17Z2020-11-04T21:08:17Z2020-05-182020-11-03Jhacson Meza, Raul Vargas, Lenny A. Romero, Song Zhang, and Andres G. Marrugo "What is the best triangulation approach for a structured light system?", Proc. SPIE 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX, 113970D (18 May 2020); https://doi.org/10.1117/12.2559119https://hdl.handle.net/20.500.12585/953810.1117/12.2559119Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarIt has become customary to calibrate a camera-projector pair in a structured light (SL) system as a stereo-vision setup. The 3D reconstruction is carried out by triangulation from the detected point at the camera sensor and its correspondence at the projector DMD. There are several algebraic formulations to obtain the coordinates of the 3D point, especially in the presence of noise. However, it is not clear what is the best triangulation approach. In this study, we aimed to determine the most suitable triangulation method for SL systems in terms of accuracy and execution time. We assess different strategies in which both coordinates in the projector are known (point-point correspondence) and the case in which only the one coordinate in the DMD is known (pointline correspondence). We also introduce the idea of estimating the second projector coordinate with epipolar constraints. We carried out simulations and experiments to evaluate the differences between the triangulation methods, considering the phase-depth sensitivity of the system. Our results show that under suboptimal phasedepth sensitivity conditions, the triangulation method does influence the overall accuracy. Therefore, the system should be arranged for optimal phase-depth sensitivity so that any triangulation method ensures the same accuracy.application/pdfengProceedings Volume 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX; 113970D (2020)What is the best triangulation approach for a structured light system?info:eu-repo/semantics/lectureinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_c94fhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_8544Metrología ópticaOptical MetrologyReconstrucción 3DEnfoque de triangulación3D reconstructionTriangulation approachinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbCartagena de IndiasInvestigadoreshttp://purl.org/coar/resource_type/c_c94fORIGINAL77.pdf77.pdfapplication/pdf60391https://repositorio.utb.edu.co/bitstream/20.500.12585/9538/1/77.pdf326c8d1195e34c755e1de38ee15127baMD51LICENSElicense.txtlicense.txttext/plain; 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