Proficient Calibration Methodologies for Fixed Photogrammetric Monitoring Systems.
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| Title: | Proficient Calibration Methodologies for Fixed Photogrammetric Monitoring Systems. |
|---|---|
| Authors: | Guccione, Davide Ettore1 (AUTHOR) davide.guccione@newcastle.edu.au, Turvey, Eric1 (AUTHOR) klaus.thoeni@newcastle.edu.au, Roncella, Riccardo2 (AUTHOR) riccardo.roncella@unipr.it, Thoeni, Klaus1 (AUTHOR) anna.giacomini@newcastle.edu.au, Giacomini, Anna1 (AUTHOR) |
| Source: | Remote Sensing. Jul2024, Vol. 16 Issue 13, p2281. 24p. |
| Subjects: | Stereo vision (Computer science), Camera calibration, Calibration, Focal length, Point cloud |
| Abstract: | This work focuses on investigating the accuracy of 3D reconstructions from fixed stereo-photogrammetric monitoring systems through different camera calibration procedures. New reliable and effective calibration methodologies that require minimal effort and resources are presented. A full-format camera equipped with fixed 50 and 85 mm focal length optics is considered, but the methodologies are general and can be applied to other systems. Four different calibration strategies are considered: (i) full-field calibration (FF); (ii) multi-image on-the-job calibration (MI); (iii) point cloud-based calibration (PC); and (iv) self (on-the-job) calibration (SC). To evaluate the calibration strategies and assess their actual performance and practicality, two test sites are used. The full-field calibration, while very reliable, demands significant effort if it needs to be repeated. The multi-image strategy emerges as a favourable compromise, offering good results with minimal effort for its realisation. The point cloud-based method stands out as the optimal choice, balancing ease of implementation with quality results; however, it requires a reference 3D point cloud model. On-the-job calibration with monitoring images is the simplest but least reliable option, prone to uncertainty and potential inaccuracies, and should hence be avoided. Ultimately, prioritising result reliability over absolute accuracy is paramount in continuous monitoring systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 178413712 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Proficient Calibration Methodologies for Fixed Photogrammetric Monitoring Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Guccione%2C+Davide+Ettore%22">Guccione, Davide Ettore</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> davide.guccione@newcastle.edu.au</i><br /><searchLink fieldCode="AR" term="%22Turvey%2C+Eric%22">Turvey, Eric</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> klaus.thoeni@newcastle.edu.au</i><br /><searchLink fieldCode="AR" term="%22Roncella%2C+Riccardo%22">Roncella, Riccardo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> riccardo.roncella@unipr.it</i><br /><searchLink fieldCode="AR" term="%22Thoeni%2C+Klaus%22">Thoeni, Klaus</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> anna.giacomini@newcastle.edu.au</i><br /><searchLink fieldCode="AR" term="%22Giacomini%2C+Anna%22">Giacomini, Anna</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jul2024, Vol. 16 Issue 13, p2281. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Stereo+vision+%28Computer+science%29%22">Stereo vision (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Camera+calibration%22">Camera calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Focal+length%22">Focal length</searchLink><br /><searchLink fieldCode="DE" term="%22Point+cloud%22">Point cloud</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This work focuses on investigating the accuracy of 3D reconstructions from fixed stereo-photogrammetric monitoring systems through different camera calibration procedures. New reliable and effective calibration methodologies that require minimal effort and resources are presented. A full-format camera equipped with fixed 50 and 85 mm focal length optics is considered, but the methodologies are general and can be applied to other systems. Four different calibration strategies are considered: (i) full-field calibration (FF); (ii) multi-image on-the-job calibration (MI); (iii) point cloud-based calibration (PC); and (iv) self (on-the-job) calibration (SC). To evaluate the calibration strategies and assess their actual performance and practicality, two test sites are used. The full-field calibration, while very reliable, demands significant effort if it needs to be repeated. The multi-image strategy emerges as a favourable compromise, offering good results with minimal effort for its realisation. The point cloud-based method stands out as the optimal choice, balancing ease of implementation with quality results; however, it requires a reference 3D point cloud model. On-the-job calibration with monitoring images is the simplest but least reliable option, prone to uncertainty and potential inaccuracies, and should hence be avoided. Ultimately, prioritising result reliability over absolute accuracy is paramount in continuous monitoring systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs16132281 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 2281 Subjects: – SubjectFull: Stereo vision (Computer science) Type: general – SubjectFull: Camera calibration Type: general – SubjectFull: Calibration Type: general – SubjectFull: Focal length Type: general – SubjectFull: Point cloud Type: general Titles: – TitleFull: Proficient Calibration Methodologies for Fixed Photogrammetric Monitoring Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guccione, Davide Ettore – PersonEntity: Name: NameFull: Turvey, Eric – PersonEntity: Name: NameFull: Roncella, Riccardo – PersonEntity: Name: NameFull: Thoeni, Klaus – PersonEntity: Name: NameFull: Giacomini, Anna IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 16 – Type: issue Value: 13 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
