A Camera Intrinsic Matrix-Free Calibration Method for Laser Triangulation Sensor Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.3390/s21020559
Laser triangulation sensors (LTS) are widely used to acquire depth information in industrial applications. However, the parameters of the components, e.g., the camera, of the off-the-shelf LTS are typically unknown. This makes it difficult to recalibrate the degenerated LTS devices during regular maintenance operations. In this paper, a novel one-dimensional target-based camera intrinsic matrix-free LTS calibration method is proposed. In contrast to conventional methods that calibrate the LTS based on the precise camera intrinsic matrix, we formulate the LTS calibration as an optimization problem taking all parameters of the LTS into account, simultaneously. In this way, many pairs of the camera intrinsic matrix and the equation of the laser plane can be solved and different pairs of parameters are equivalent for displacement measurement. A closed-form solution of the position of the one-dimensional target is proposed to make the parameters of the LTS optimizable. The results of simulations and experiments show that the proposed method can calibrate the LTS without knowing the camera intrinsic matrix. In addition, the proposed approach significantly improves the displacement measurement precision of the LTS after calibration. In conclusion, the proposed method proved that the precise camera intrinsic matrix is not the necessary condition for LTS displacement measurement.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s21020559
- https://www.mdpi.com/1424-8220/21/2/559/pdf
- OA Status
- gold
- Cited By
- 4
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3119627781
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3119627781Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s21020559Digital Object Identifier
- Title
-
A Camera Intrinsic Matrix-Free Calibration Method for Laser Triangulation SensorWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-14Full publication date if available
- Authors
-
Xuzhan Chen, Youping Chen, Bing Chen, Zhuo He, Yunxiu Ma, Dailin Zhang, Homayoun NajjaranList of authors in order
- Landing page
-
https://doi.org/10.3390/s21020559Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/21/2/559/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/21/2/559/pdfDirect OA link when available
- Concepts
-
Triangulation, Displacement (psychology), Calibration, Camera matrix, Camera auto-calibration, Computer vision, Camera resectioning, Matrix (chemical analysis), Computer science, Artificial intelligence, Position (finance), Laser, Fundamental matrix (linear differential equation), Essential matrix, Algorithm, Optics, Mathematics, Pinhole camera model, Physics, Geometry, Mathematical analysis, Symmetric matrix, Materials science, State-transition matrix, Composite material, Economics, Finance, Quantum mechanics, Psychotherapist, Statistics, Eigenvalues and eigenvectors, PsychologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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24Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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