10 docs tagged with "site-reconstruction"

The core of the course — recover a photo's camera (position, orientation, focal length) from vanishing points, composed with the perspective and camera-matching theory references.

Strategies for matching a camera to source imagery in Blender for accurate 3D reconstruction.

Build the georeferenced 1:1 baseline from satellite imagery, and establish scale you can defend — the five-tier source-reliability hierarchy.

Build the georeferenced 1:1 working environment from satellite imagery — the scale anchor for everything that follows, and — in the shared measurements reference — how to measure precisely on top of that baseline.

Methods for establishing scale, taking measurements, and determining dimensions from visual evidence.

The worked walkthrough — block out the building against the matched camera, then verify every step by photomatching the model back onto the source frames.

With both anchors in place, model the site against the matched camera and verify by photomatching — the two-part walkthrough of the reconstruction: the camera match, then the modeling and verification.

Full course overview, prerequisites, learning objectives, and the unit map of modules and pages for Site Reconstruction by Camera Matching.

The worked walkthrough — align the satellite scene, choose the reference image, solve the camera with Perspective Plotter, anchor it with a measured distance, and verify the match.

What site reconstruction is, why satellite imagery + OSINT imagery is the foundation, and the two anchors that hold the whole method together.