Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/82136
DC Field | Value | Language |
---|---|---|
dc.contributor | Chinese Mainland Affairs Office | - |
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Li, W | - |
dc.creator | Li, Y | - |
dc.creator | Darwish, W | - |
dc.creator | Tang, S | - |
dc.creator | Hu, Y | - |
dc.creator | Chen, W | - |
dc.date.accessioned | 2020-05-05T05:58:48Z | - |
dc.date.available | 2020-05-05T05:58:48Z | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/10397/82136 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.rights | © 2020 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/). | en_US |
dc.rights | The following publication Li W, Li Y, Darwish W, Tang S, Hu Y, Chen W. A Range-Independent Disparity-Based Calibration Model for Structured Light Pattern-Based RGBD Sensor. Sensors. 2020; 20(3):639, is available at https://doi.org/10.3390/s20030639 | en_US |
dc.subject | Calibration model | en_US |
dc.subject | Disparity | en_US |
dc.subject | RGBD sensor | en_US |
dc.title | A range-independent disparity-based calibration model for structured light pattern-based RGBD sensor | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 20 | - |
dc.identifier.issue | 3 | - |
dc.identifier.doi | 10.3390/s20030639 | - |
dcterms.abstract | Consumer-grade RGBD sensors that provide both colour and depth information have many potential applications, such as robotics control, localization, and mapping, due to their low cost and simple operation. However, the depth measurement provided by consumer-grade RGBD sensors is still inadequate for many high-precision applications, such as rich 3D reconstruction, accurate object recognition and precise localization, due to the fact that the systematic errors of RGB sensors increase exponentially with the ranging distance. Most existing calibration models for depth measurement must be carried out with different distances. In this paper, we reveal the mechanism of how an infrared (IR) camera and IR projector contribute to the overall non-centrosymmetric distortion of a structured light pattern-based RGBD sensor. Then, a new two-step calibration method for RGBD sensors based on the disparity measurement is proposed, which is range-independent and has full frame coverage. Three independent calibration models are used for the calibration for the three main components of the RGBD sensor errors: the infrared camera distortion, the infrared projection distortion, and the infrared cone-caused bias. Experiments show the proposed calibration method can provide precise calibration results in full-range and full-frame coverage of depth measurement. The offset in the edge area of long-range depth (8 m) is reduced from 86 cm to 30 cm, and the relative error is reduced from 11% to 3% of the range distance. Overall, at far range the proposed calibration method can improve the depth accuracy by 70% in the central region of depth frame and 65% in the edge region. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Sensors (Switzerland), 2020, v. 20, no. 3, 639 | - |
dcterms.isPartOf | Sensors (Switzerland) | - |
dcterms.issued | 2020 | - |
dc.identifier.isi | WOS:000517786200063 | - |
dc.identifier.scopus | 2-s2.0-85078261002 | - |
dc.identifier.pmid | 31979266 | - |
dc.identifier.artn | 639 | - |
dc.description.validate | 202006 bcma | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Li_range-independent_disparity-based_calibration.pdf | 10.09 MB | Adobe PDF | View/Open |
Page views
94
Last Week
1
1
Last month
Citations as of Apr 14, 2024
Downloads
47
Citations as of Apr 14, 2024
SCOPUSTM
Citations
2
Citations as of Apr 5, 2024
WEB OF SCIENCETM
Citations
2
Citations as of Apr 18, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.