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Photogrammetry

As explained in Digital Twins in Action

Photogrammetry is a technique for deriving measurements and three-dimensional models from photographs or other imagery.

Photogrammetry creates a 3D model from overlapping 2D photographs. It is useful when a digital twin needs a visual record of an existing object or site, rather than clean geometry drawn from a CAD design. The resulting model can show wear, rust, weathering, and vegetation alongside the asset’s shape. section 7.4.2

A common approach is structure from motion (SfM). It estimates a scene’s 3D structure by analyzing how objects appear to change position across photographs taken from different viewpoints. SfM does not require specialized camera equipment. High-quality digital cameras and consumer drones make image capture accessible, while reconstruction software and available computing power make processing practical. section 7.4.2

Figure 7.12 The structure-from-motion problem. What kind of camera took these pictures, and where was it when each picture was taken? Image © Piero Toffanin, OpenDroneMap, reproduced with permission.
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Use the three camera viewpoints to see the central reconstruction problem: relating multiple pictures of the same object to a three-dimensional representation. section 7.4.2

Choose photogrammetry according to the job the model must do:

  • For an older facility with missing or outdated blueprints, create an as-built record of current conditions without manually modeling the site. section 7.4.2
  • For a hazardous or inaccessible structure, combine drone photography with reconstruction so operators can inspect the model from a desktop. Large models can support measurements within 1–3 cm, but that figure is not a universal accuracy guarantee. section 7.4.2
  • For teaching, reconstruct physical specimens as 3D representations. Anatomical models have reduced students’ reliance on scarce specimens and costly labs, as well as exposure to chemicals used with physical specimens. section 1.4.4

Photogrammetry favors accessible capture and photorealistic texture, but reconstruction is processing-intensive. When millimeter-level geometric accuracy is the priority, LiDAR point clouds are the stronger choice, at the cost of more expensive capture equipment and higher hardware demands. Select the representation against the inspection or visualization requirement, not visual realism alone. section 7.6

How Digital Twins in Action covers it

How deep it goes
Defines reconstruction from overlapping photographs and explains SfM at the viewpoint level, without detailing a capture or processing procedure.
Examples
Uses brownfield facilities, hazardous structures, and reconstructed anatomical specimens to show inspection and training applications.
What it assumes
Introduces photogrammetry and SfM from their basic definitions without assuming specialist camera equipment.
What you can do after
Evaluate/understand when photographic 3D capture suits a task and when LiDAR’s greater geometric precision justifies its equipment demands.
How it connects
Connects photogrammetry to structure from motion, CAD, drone capture, digital twins, and LiDAR point clouds.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Digital Twins in Action. The section links point to the parts of the book it draws on.