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Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera

Low-cost RGB-D cameras are increasingly being used in several research fields, including human–machine interaction, safety, robotics, biomedical engineering and even reverse engineering applications. Among the plethora of commercial devices, the Intel RealSense cameras have proven to be among the mo...

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Autores principales: Carfagni, Monica, Furferi, Rocco, Governi, Lapo, Santarelli, Chiara, Servi, Michaela, Uccheddu, Francesca, Volpe, Yary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387018/
https://www.ncbi.nlm.nih.gov/pubmed/30691011
http://dx.doi.org/10.3390/s19030489
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author Carfagni, Monica
Furferi, Rocco
Governi, Lapo
Santarelli, Chiara
Servi, Michaela
Uccheddu, Francesca
Volpe, Yary
author_facet Carfagni, Monica
Furferi, Rocco
Governi, Lapo
Santarelli, Chiara
Servi, Michaela
Uccheddu, Francesca
Volpe, Yary
author_sort Carfagni, Monica
collection PubMed
description Low-cost RGB-D cameras are increasingly being used in several research fields, including human–machine interaction, safety, robotics, biomedical engineering and even reverse engineering applications. Among the plethora of commercial devices, the Intel RealSense cameras have proven to be among the most suitable devices, providing a good compromise between cost, ease of use, compactness and precision. Released on the market in January 2018, the new Intel model RealSense D415 has a wide acquisition range (i.e., ~160–10,000 mm) and a narrow field of view to capture objects in rapid motion. Given the unexplored potential of this new device, especially when used as a 3D scanner, the present work aims to characterize and to provide metrological considerations for the RealSense D415. In particular, tests are carried out to assess the device performance in the near range (i.e., 100–1000 mm). Characterization is performed by integrating the guidelines of the existing standard (i.e., the German VDI/VDE 2634 Part 2) with a number of literature-based strategies. Performance analysis is finally compared against the latest close-range sensors, thus providing a useful guidance for researchers and practitioners aiming to use RGB-D cameras in reverse engineering applications.
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spelling pubmed-63870182019-02-26 Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera Carfagni, Monica Furferi, Rocco Governi, Lapo Santarelli, Chiara Servi, Michaela Uccheddu, Francesca Volpe, Yary Sensors (Basel) Article Low-cost RGB-D cameras are increasingly being used in several research fields, including human–machine interaction, safety, robotics, biomedical engineering and even reverse engineering applications. Among the plethora of commercial devices, the Intel RealSense cameras have proven to be among the most suitable devices, providing a good compromise between cost, ease of use, compactness and precision. Released on the market in January 2018, the new Intel model RealSense D415 has a wide acquisition range (i.e., ~160–10,000 mm) and a narrow field of view to capture objects in rapid motion. Given the unexplored potential of this new device, especially when used as a 3D scanner, the present work aims to characterize and to provide metrological considerations for the RealSense D415. In particular, tests are carried out to assess the device performance in the near range (i.e., 100–1000 mm). Characterization is performed by integrating the guidelines of the existing standard (i.e., the German VDI/VDE 2634 Part 2) with a number of literature-based strategies. Performance analysis is finally compared against the latest close-range sensors, thus providing a useful guidance for researchers and practitioners aiming to use RGB-D cameras in reverse engineering applications. MDPI 2019-01-25 /pmc/articles/PMC6387018/ /pubmed/30691011 http://dx.doi.org/10.3390/s19030489 Text en © 2019 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
Carfagni, Monica
Furferi, Rocco
Governi, Lapo
Santarelli, Chiara
Servi, Michaela
Uccheddu, Francesca
Volpe, Yary
Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera
title Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera
title_full Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera
title_fullStr Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera
title_full_unstemmed Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera
title_short Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera
title_sort metrological and critical characterization of the intel d415 stereo depth camera
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387018/
https://www.ncbi.nlm.nih.gov/pubmed/30691011
http://dx.doi.org/10.3390/s19030489
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