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A 3D Sensor Based on a Profilometrical Approach
An improved method which considers the use of Fourier and wavelet transform based analysis to infer and extract 3D information from an object by fringe projection on it is presented. This method requires a single image which contains a sinusoidal white light fringe pattern projected on it, and this...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267224/ https://www.ncbi.nlm.nih.gov/pubmed/22303176 http://dx.doi.org/10.3390/s91210326 |
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author | Pedraza-Ortega, Jesús Carlos Gorrostieta-Hurtado, Efren Delgado-Rosas, Manuel Canchola-Magdaleno, Sandra L. Ramos-Arreguin, Juan Manuel Aceves Fernandez, Marco A. Sotomayor-Olmedo, Artemio |
author_facet | Pedraza-Ortega, Jesús Carlos Gorrostieta-Hurtado, Efren Delgado-Rosas, Manuel Canchola-Magdaleno, Sandra L. Ramos-Arreguin, Juan Manuel Aceves Fernandez, Marco A. Sotomayor-Olmedo, Artemio |
author_sort | Pedraza-Ortega, Jesús Carlos |
collection | PubMed |
description | An improved method which considers the use of Fourier and wavelet transform based analysis to infer and extract 3D information from an object by fringe projection on it is presented. This method requires a single image which contains a sinusoidal white light fringe pattern projected on it, and this pattern has a known spatial frequency and its information is used to avoid any discontinuities in the fringes with high frequency. Several computer simulations and experiments have been carried out to verify the analysis. The comparison between numerical simulations and experiments has proved the validity of this proposed method. |
format | Online Article Text |
id | pubmed-3267224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32672242012-02-02 A 3D Sensor Based on a Profilometrical Approach Pedraza-Ortega, Jesús Carlos Gorrostieta-Hurtado, Efren Delgado-Rosas, Manuel Canchola-Magdaleno, Sandra L. Ramos-Arreguin, Juan Manuel Aceves Fernandez, Marco A. Sotomayor-Olmedo, Artemio Sensors (Basel) Article An improved method which considers the use of Fourier and wavelet transform based analysis to infer and extract 3D information from an object by fringe projection on it is presented. This method requires a single image which contains a sinusoidal white light fringe pattern projected on it, and this pattern has a known spatial frequency and its information is used to avoid any discontinuities in the fringes with high frequency. Several computer simulations and experiments have been carried out to verify the analysis. The comparison between numerical simulations and experiments has proved the validity of this proposed method. Molecular Diversity Preservation International (MDPI) 2009-12-21 /pmc/articles/PMC3267224/ /pubmed/22303176 http://dx.doi.org/10.3390/s91210326 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Pedraza-Ortega, Jesús Carlos Gorrostieta-Hurtado, Efren Delgado-Rosas, Manuel Canchola-Magdaleno, Sandra L. Ramos-Arreguin, Juan Manuel Aceves Fernandez, Marco A. Sotomayor-Olmedo, Artemio A 3D Sensor Based on a Profilometrical Approach |
title | A 3D Sensor Based on a Profilometrical Approach |
title_full | A 3D Sensor Based on a Profilometrical Approach |
title_fullStr | A 3D Sensor Based on a Profilometrical Approach |
title_full_unstemmed | A 3D Sensor Based on a Profilometrical Approach |
title_short | A 3D Sensor Based on a Profilometrical Approach |
title_sort | 3d sensor based on a profilometrical approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267224/ https://www.ncbi.nlm.nih.gov/pubmed/22303176 http://dx.doi.org/10.3390/s91210326 |
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