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Camera Calibration Toolbox For, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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( a ) The rigid transformation relating LiDAR and Spheron coordinate frames (red and blue) was estimated by aligning the projections of three <t>calibration</t> targets in the scene. ( b ) Magnitude of the estimated translational component of the rigid transformation over scenes. The red bar indicates the mean.
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( a ) The rigid transformation relating LiDAR and Spheron coordinate frames (red and blue) was estimated by aligning the projections of three <t>calibration</t> targets in the scene. ( b ) Magnitude of the estimated translational component of the rigid transformation over scenes. The red bar indicates the mean.
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( a ) The rigid transformation relating LiDAR and Spheron coordinate frames (red and blue) was estimated by aligning the projections of three <t>calibration</t> targets in the scene. ( b ) Magnitude of the estimated translational component of the rigid transformation over scenes. The red bar indicates the mean.
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based open source camera calibration toolbox  (MathWorks Inc)
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( a ) The rigid transformation relating LiDAR and Spheron coordinate frames (red and blue) was estimated by aligning the projections of three <t>calibration</t> targets in the scene. ( b ) Magnitude of the estimated translational component of the rigid transformation over scenes. The red bar indicates the mean.
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( a ) The rigid transformation relating LiDAR and Spheron coordinate frames (red and blue) was estimated by aligning the projections of three <t>calibration</t> targets in the scene. ( b ) Magnitude of the estimated translational component of the rigid transformation over scenes. The red bar indicates the mean.
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caltech cameca 7f-geo ion probe  (CAMECA Inc)
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( a ) The rigid transformation relating LiDAR and Spheron coordinate frames (red and blue) was estimated by aligning the projections of three <t>calibration</t> targets in the scene. ( b ) Magnitude of the estimated translational component of the rigid transformation over scenes. The red bar indicates the mean.
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Image Search Results


( a ) The rigid transformation relating LiDAR and Spheron coordinate frames (red and blue) was estimated by aligning the projections of three calibration targets in the scene. ( b ) Magnitude of the estimated translational component of the rigid transformation over scenes. The red bar indicates the mean.

Journal: Scientific Reports

Article Title: The Southampton-York Natural Scenes (SYNS) dataset: Statistics of surface attitude

doi: 10.1038/srep35805

Figure Lengend Snippet: ( a ) The rigid transformation relating LiDAR and Spheron coordinate frames (red and blue) was estimated by aligning the projections of three calibration targets in the scene. ( b ) Magnitude of the estimated translational component of the rigid transformation over scenes. The red bar indicates the mean.

Article Snippet: We then employed MATLAB’s Camera Calibration Toolbox ( www.vision.caltech.edu/bouguetj/calib_doc/ ) for more precise estimation of external and internal camera parameters and lens distortions, using a custom-built planar checkerboard calibration surface captured at various distances and orientations.

Techniques: Transformation Assay