Robust stereo calibration for improved 2D-3D projection in real-world pose estimation.
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| Title: | Robust stereo calibration for improved 2D-3D projection in real-world pose estimation. |
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| Authors: | Schreuder, Chris-Mari1 (AUTHOR) chrismari.schreuder@gmail.com, Theart, Rensu P.1 (AUTHOR) rptheart@sun.ac.za |
| Source: | Multimedia Tools & Applications. Oct2025, Vol. 84 Issue 35, p43901-43928. 28p. |
| Subjects: | Camera calibration, Pose estimation (Computer vision), Robotics, Augmented reality, Digital image processing, Computer vision, Calibration |
| Abstract: | Achieving precise 3D pose estimation in real-world scenarios using open-source stereo calibration techniques remains a significant challenge due to external factors such as camera positioning, calibration target size, and environmental noise. Existing calibration methods often rely on specialized hardware, controlled environments, or computationally intensive processes, limiting their practicality in low-resource settings. This paper proposes an optimized stereo calibration framework designed for conventional RGB cameras and standard calibration targets, ensuring both accuracy and efficiency in resource-constrained environments. We systematically analyze the influence of key calibration parameters, demonstrating that factors such as a 45 ∘ camera pair angle, A2 calibration board size, and still-image capture yield optimal results. Additionally, we introduce an improved evaluation method that produces a more accurate metric by implementing 3D point projection and 2D back-projection, both widely used in practical applications. This approach results in more consistent and reliable calibration estimations. Experimental results show a substantial reduction in 3D projection and 2D back-projection errors, significantly enhancing the accuracy of 3D pose estimation dataset generation, where these factors are crucial. Our method effectively identifies the best frame combinations for stereo calibration, ensuring precise 3D reconstruction and 2D back-projection from the world coordinate system (WCS). These advancements are particularly impactful for applications in robotics, augmented reality, and computer vision, where accurate and efficient pose estimation is critical, especially in low-resource environments that rely on standard RGB cameras and calibration targets. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature 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: 188906117 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Robust stereo calibration for improved 2D-3D projection in real-world pose estimation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schreuder%2C+Chris-Mari%22">Schreuder, Chris-Mari</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chrismari.schreuder@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Theart%2C+Rensu+P%2E%22">Theart, Rensu P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rptheart@sun.ac.za</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Oct2025, Vol. 84 Issue 35, p43901-43928. 28p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Camera+calibration%22">Camera calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Pose+estimation+%28Computer+vision%29%22">Pose estimation (Computer vision)</searchLink><br /><searchLink fieldCode="DE" term="%22Robotics%22">Robotics</searchLink><br /><searchLink fieldCode="DE" term="%22Augmented+reality%22">Augmented reality</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing%22">Digital image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Achieving precise 3D pose estimation in real-world scenarios using open-source stereo calibration techniques remains a significant challenge due to external factors such as camera positioning, calibration target size, and environmental noise. Existing calibration methods often rely on specialized hardware, controlled environments, or computationally intensive processes, limiting their practicality in low-resource settings. This paper proposes an optimized stereo calibration framework designed for conventional RGB cameras and standard calibration targets, ensuring both accuracy and efficiency in resource-constrained environments. We systematically analyze the influence of key calibration parameters, demonstrating that factors such as a 45 ∘ camera pair angle, A2 calibration board size, and still-image capture yield optimal results. Additionally, we introduce an improved evaluation method that produces a more accurate metric by implementing 3D point projection and 2D back-projection, both widely used in practical applications. This approach results in more consistent and reliable calibration estimations. Experimental results show a substantial reduction in 3D projection and 2D back-projection errors, significantly enhancing the accuracy of 3D pose estimation dataset generation, where these factors are crucial. Our method effectively identifies the best frame combinations for stereo calibration, ensuring precise 3D reconstruction and 2D back-projection from the world coordinate system (WCS). These advancements are particularly impactful for applications in robotics, augmented reality, and computer vision, where accurate and efficient pose estimation is critical, especially in low-resource environments that rely on standard RGB cameras and calibration targets. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188906117 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-025-20846-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 43901 Subjects: – SubjectFull: Camera calibration Type: general – SubjectFull: Pose estimation (Computer vision) Type: general – SubjectFull: Robotics Type: general – SubjectFull: Augmented reality Type: general – SubjectFull: Digital image processing Type: general – SubjectFull: Computer vision Type: general – SubjectFull: Calibration Type: general Titles: – TitleFull: Robust stereo calibration for improved 2D-3D projection in real-world pose estimation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schreuder, Chris-Mari – PersonEntity: Name: NameFull: Theart, Rensu P. IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 35 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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