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The <t>3D</t> point cloud of the church <t>of</t> <t>Sant’Andrea</t> della Valle, a perspective view in reflectance mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap. The point cloud is shown for illustrative purposes only; the raw data are not included in the public dataset.
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The <t>3D</t> point cloud of the church <t>of</t> <t>Sant’Andrea</t> della Valle, a perspective view in reflectance mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap. The point cloud is shown for illustrative purposes only; the raw data are not included in the public dataset.
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Multi-height flat phantoms with profile-correction: (a) Photograph of the three tissue-mimicking phantoms annotated with their optical properties determined by conventional SFDI. (b) Multi-phantom laser speckle (AC; top left) and uniform illumination (DC; bottom right) images used for si-SFDI optical property estimation. The AC data are contrast-enhanced for visualization. (c) Overlay of the optical property fractional error map onto the active stereo estimated <t>3D</t> <t>point</t> cloud of uncorrected (left column) and profile-corrected (right column). Fractional error was computed between laparoscopic si-SFDI and ground truth optical properties calculated from profile-corrected SFDI.
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Multi-height flat phantoms with profile-correction: (a) Photograph of the three tissue-mimicking phantoms annotated with their optical properties determined by conventional SFDI. (b) Multi-phantom laser speckle (AC; top left) and uniform illumination (DC; bottom right) images used for si-SFDI optical property estimation. The AC data are contrast-enhanced for visualization. (c) Overlay of the optical property fractional error map onto the active stereo estimated <t>3D</t> <t>point</t> cloud of uncorrected (left column) and profile-corrected (right column). Fractional error was computed between laparoscopic si-SFDI and ground truth optical properties calculated from profile-corrected SFDI.
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Multi-height flat phantoms with profile-correction: (a) Photograph of the three tissue-mimicking phantoms annotated with their optical properties determined by conventional SFDI. (b) Multi-phantom laser speckle (AC; top left) and uniform illumination (DC; bottom right) images used for si-SFDI optical property estimation. The AC data are contrast-enhanced for visualization. (c) Overlay of the optical property fractional error map onto the active stereo estimated <t>3D</t> <t>point</t> cloud of uncorrected (left column) and profile-corrected (right column). Fractional error was computed between laparoscopic si-SFDI and ground truth optical properties calculated from profile-corrected SFDI.
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BARCO Inc 3d coordinates of point clouds
Multi-height flat phantoms with profile-correction: (a) Photograph of the three tissue-mimicking phantoms annotated with their optical properties determined by conventional SFDI. (b) Multi-phantom laser speckle (AC; top left) and uniform illumination (DC; bottom right) images used for si-SFDI optical property estimation. The AC data are contrast-enhanced for visualization. (c) Overlay of the optical property fractional error map onto the active stereo estimated <t>3D</t> <t>point</t> cloud of uncorrected (left column) and profile-corrected (right column). Fractional error was computed between laparoscopic si-SFDI and ground truth optical properties calculated from profile-corrected SFDI.
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The 3D point cloud of the church of Sant’Andrea della Valle, a perspective view in reflectance mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap. The point cloud is shown for illustrative purposes only; the raw data are not included in the public dataset.

Journal: Data in Brief

Article Title: Sant’Andrea della valle dataset: Georeferenced 2D study models of a Theatine Church

doi: 10.1016/j.dib.2026.112618

Figure Lengend Snippet: The 3D point cloud of the church of Sant’Andrea della Valle, a perspective view in reflectance mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap. The point cloud is shown for illustrative purposes only; the raw data are not included in the public dataset.

Article Snippet: Fig. 1 The 3D point cloud of the church of Sant’Andrea della Valle, a perspective view in reflectance mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap.

Techniques:

The 3D point cloud of the church of Sant’Andrea della Valle, a cross section in RGB mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap. The point cloud is shown for illustrative purposes only; the raw data are not included in the public dataset.

Journal: Data in Brief

Article Title: Sant’Andrea della valle dataset: Georeferenced 2D study models of a Theatine Church

doi: 10.1016/j.dib.2026.112618

Figure Lengend Snippet: The 3D point cloud of the church of Sant’Andrea della Valle, a cross section in RGB mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap. The point cloud is shown for illustrative purposes only; the raw data are not included in the public dataset.

Article Snippet: Fig. 1 The 3D point cloud of the church of Sant’Andrea della Valle, a perspective view in reflectance mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap.

Techniques:

. 2D restitution of the ground floor plan of Sant’Andrea della Valle based on the 3D point cloud survey, derived from the CAD file included in the dataset and produced by the authors.

Journal: Data in Brief

Article Title: Sant’Andrea della valle dataset: Georeferenced 2D study models of a Theatine Church

doi: 10.1016/j.dib.2026.112618

Figure Lengend Snippet: . 2D restitution of the ground floor plan of Sant’Andrea della Valle based on the 3D point cloud survey, derived from the CAD file included in the dataset and produced by the authors.

Article Snippet: Fig. 1 The 3D point cloud of the church of Sant’Andrea della Valle, a perspective view in reflectance mode, it derives from a screenshot elaborated by authors of the point cloud using Autodesk Recap.

Techniques: Derivative Assay, Produced

Multi-height flat phantoms with profile-correction: (a) Photograph of the three tissue-mimicking phantoms annotated with their optical properties determined by conventional SFDI. (b) Multi-phantom laser speckle (AC; top left) and uniform illumination (DC; bottom right) images used for si-SFDI optical property estimation. The AC data are contrast-enhanced for visualization. (c) Overlay of the optical property fractional error map onto the active stereo estimated 3D point cloud of uncorrected (left column) and profile-corrected (right column). Fractional error was computed between laparoscopic si-SFDI and ground truth optical properties calculated from profile-corrected SFDI.

Journal: Journal of Biomedical Optics

Article Title: Speckle-illumination spatial frequency domain imaging with a stereo laparoscope for profile-corrected optical property mapping

doi: 10.1117/1.JBO.30.S1.S13710

Figure Lengend Snippet: Multi-height flat phantoms with profile-correction: (a) Photograph of the three tissue-mimicking phantoms annotated with their optical properties determined by conventional SFDI. (b) Multi-phantom laser speckle (AC; top left) and uniform illumination (DC; bottom right) images used for si-SFDI optical property estimation. The AC data are contrast-enhanced for visualization. (c) Overlay of the optical property fractional error map onto the active stereo estimated 3D point cloud of uncorrected (left column) and profile-corrected (right column). Fractional error was computed between laparoscopic si-SFDI and ground truth optical properties calculated from profile-corrected SFDI.

Article Snippet: Noisy data points were removed through a series of steps: downsampling the 3D point cloud in X Y using 2 × 2 spatial averaging, applying Golay filter smoothing with a polynomial order of 1 and frame length of 31, and fitting the result to a smooth surface using the gridfit method in MATLAB.

Techniques: