Introduction to Photogrammetry

Data acquisition (small to large specimens)

Basics of the Structure from Motion (SfM) method: what data does it require?

•  Photography for SfM:
  • Camera settings
  • Specimen preparation & support materials
  • Image capture methods with static or moving camera
  • Scale bar usage
• Difficult cases: tiny, shiny, or otherwise problematic cases.

Model creation

• Basic workflow in Reality Capture (and Meshroom)
  • Data loading
  • Marker detection
  • Alignment and model creation
  • Colors and textures
•  Solutions for problematic cases
  • Multi-chunk modelling
  • Adding new photographs

 Basics of model editing for printing, web display, scientific use, etc.

• Introduction to the interface and basics of GOM inspect, MeshLab and Blender.
• Mesh description, quality assessment and elimination of errors (e.g. holes, non-watertight meshes, non-manifold vertices and edges, etc).
• Scaling and mirroring.
• Sectioning for 3D printing

 Long term data storage and scientific reusability considerations

• Data integrity and long-term reusability: what and how to archive?
• Digital repositories and licenses.

Ethical concerns and best practices.