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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Related Experiment Video

Updated: Dec 1, 2025

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Optimal Lateral Displacement in Automatic Close-Range Photogrammetry.

Gabriele Guidi1, Umair Shafqat Malik1, Laura Loredana Micoli1

  • 1Department of Mechanical Engineering, Politecnico di Milano, Via La Masa, 1, 20156 Milan, Italy.

Sensors (Basel, Switzerland)
|November 7, 2020
PubMed
Summary
This summary is machine-generated.

Researchers found an optimal camera angle for 3D photogrammetry. This improves accuracy in Structure from Motion/Image Matching (SfM/IM) for digitizing stone cultural heritage, reducing data uncertainty.

Keywords:
3D data uncertaintySfM/IMcomputer visiondigital heritagedistance/baseline ratioimage overlapmuseum digitizationphotogrammetry

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Area of Science:

  • Geomatics Engineering
  • Digital Heritage Preservation
  • Photogrammetry and Remote Sensing

Background:

  • The accuracy of 3D models from photogrammetry is influenced by image overlap.
  • Close-range photogrammetry often uses convergent imaging, but optimal camera angles for minimizing uncertainty are not well-established.

Purpose of the Study:

  • To determine the optimal lateral camera displacement for minimizing 3D data uncertainty in Structure from Motion/Image Matching (SfM/IM).
  • To investigate if this optimal displacement is independent of object characteristics like shape, material, and texture.

Main Methods:

  • Five rock test objects were scanned using a high-accuracy active range device for reference data.
  • Photogrammetry was performed using convergent radial shots with varying angular displacements (nπ/60).
  • 3D dense clouds were generated and compared to reference data using a precise scaling protocol.

Main Results:

  • A specific range of angular displacements consistently minimized measurement uncertainty across all tested objects.
  • The optimal angle range was found to be independent of the specimen's shape, material, and texture.
  • Agisoft Metashape was used as the photogrammetric software.

Conclusions:

  • An optimal camera geometry exists for convergent close-range photogrammetry, significantly reducing 3D data uncertainty.
  • This finding provides practical guidance for the 3D digitization of cultural heritage artifacts, particularly stone objects.
  • The identified optimal angular displacement enhances the reliability of SfM/IM processes.