A Structured Light RGB-D Camera System for Accurate Depth Measurement

The ability to reliably measure the depth of the object surface is very important in a range of high-value industries. With the development of 3D vision techniques, RGB-D cameras have been widely used to perform the 6D pose estimation of target objects for a robotic manipulator. Many applications re...

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Main Authors: Van Luan Tran, Huei-Yung Lin
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:International Journal of Optics
Online Access:http://dx.doi.org/10.1155/2018/8659847
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author Van Luan Tran
Huei-Yung Lin
author_facet Van Luan Tran
Huei-Yung Lin
author_sort Van Luan Tran
collection DOAJ
description The ability to reliably measure the depth of the object surface is very important in a range of high-value industries. With the development of 3D vision techniques, RGB-D cameras have been widely used to perform the 6D pose estimation of target objects for a robotic manipulator. Many applications require accurate shape measurements of the objects for 3D template matching. In this work, we develop an RGB-D camera based on the structured light technique with gray-code coding. The intrinsic and extrinsic parameters of the camera system are determined by a calibration process. 3D reconstruction of the object surface is based on the ray triangulation principle. We construct an RGB-D sensing system with an industrial camera and a digital light projector. In the experiments, real-world objects are used to test the feasibility of the proposed technique. The evaluation carried out using planar objects has demonstrated the accuracy of our RGB-D depth measurement system.
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institution Kabale University
issn 1687-9384
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language English
publishDate 2018-01-01
publisher Wiley
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series International Journal of Optics
spelling doaj-art-cffdbbf4a40e45a0918a9b76cdf524782025-02-03T01:00:23ZengWileyInternational Journal of Optics1687-93841687-93922018-01-01201810.1155/2018/86598478659847A Structured Light RGB-D Camera System for Accurate Depth MeasurementVan Luan Tran0Huei-Yung Lin1Department of Electrical Engineering, National Chung Cheng University, 168 University Rd., Chiayi 621, TaiwanDepartment of Electrical Engineering, National Chung Cheng University, 168 University Rd., Chiayi 621, TaiwanThe ability to reliably measure the depth of the object surface is very important in a range of high-value industries. With the development of 3D vision techniques, RGB-D cameras have been widely used to perform the 6D pose estimation of target objects for a robotic manipulator. Many applications require accurate shape measurements of the objects for 3D template matching. In this work, we develop an RGB-D camera based on the structured light technique with gray-code coding. The intrinsic and extrinsic parameters of the camera system are determined by a calibration process. 3D reconstruction of the object surface is based on the ray triangulation principle. We construct an RGB-D sensing system with an industrial camera and a digital light projector. In the experiments, real-world objects are used to test the feasibility of the proposed technique. The evaluation carried out using planar objects has demonstrated the accuracy of our RGB-D depth measurement system.http://dx.doi.org/10.1155/2018/8659847
spellingShingle Van Luan Tran
Huei-Yung Lin
A Structured Light RGB-D Camera System for Accurate Depth Measurement
International Journal of Optics
title A Structured Light RGB-D Camera System for Accurate Depth Measurement
title_full A Structured Light RGB-D Camera System for Accurate Depth Measurement
title_fullStr A Structured Light RGB-D Camera System for Accurate Depth Measurement
title_full_unstemmed A Structured Light RGB-D Camera System for Accurate Depth Measurement
title_short A Structured Light RGB-D Camera System for Accurate Depth Measurement
title_sort structured light rgb d camera system for accurate depth measurement
url http://dx.doi.org/10.1155/2018/8659847
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