Advanced Photogrammetry - 28/29th December

If you ask the average surveyor about photogrammetry, they will likely picture a drone flying a lazy lawnmower grid over a muddy field to calculate the cubic yardage of a gravel heap. That is all perfectly sensible work, of course, but it is rather like buying a grand piano simply to use the lid as a place to leave your post. Photogrammetry can do far more interesting, beautiful, and exacting things.

True close-range photogrammetry belongs at the sharp end: pulling micron-level micro-topography out of a fractured bronze casting, balancing the violent contrast of direct sunlight through stained glass with deep shadow under a stone arch, and treating pixels as radiometric energy measurements rather than just pretty screen colours.

This masterclass strips photogrammetry back to first principles. We dispense with push-button software magic and dig straight into the physics of what your sensor actually records: image linearisation, high-precision focus stacking, Image-Based Lighting (IBL), and rigorous image management that ensures your alignment models don't fail when the geometry gets tight, and the lighting gets brutal.

Target Audience: Advanced reality capture specialists, metrologists, heritage conservation specialists, research engineers, and photogrammetrists who want to move past automated aerial processing into uncompromising close-range dimensional capture.

Format: 8-hour intensive face-to-face masterclass + 20+ hours of self-paced modules, calibrated test projects, raw radiometric image stacks, and troubleshooting lab files.

Key Learning Modules:

• Image Management as Pure Engineering: Why alignment engines actually fail. Diagnosing feature matching bottlenecks, sorting sensor noise from surface texture, and pre-qualifying image quality before burning GPU compute cycles.
• The 32-Bit Radiance Pipeline: Capturing and processing true linear radiance data. Why standard 8-bit clipping ruins surface normals, and how 32-bit floating-point workflows hold shadow and highlight detail across impossible dynamic ranges.
• Macro & Focus Stacking at Scale: Defeating optical depth-of-field limitations at extreme close range. Telecentric principles, stacking rails, automated capture sequences, and reconstruction of tiny, complex geometries without blur artifacts.
• Image-Based Lighting (IBL) & Environment Capture: Capturing and stitching calibrated HDR environment probes to replicate exact site illumination, evaluate real material reflectance, and inspect surfaces under true physical lighting.
• Field Troubleshooting & Complex Geometries: How to successfully capture the things photogrammetry hates: shiny surfaces, featureless expanses, thin repetitive lattice structures, and deep interior recesses without resorting to spray chalk or guessing games.