FLEXIBLE, QUANTITATIVE, 3D CURVE FITTING FOR FOLDS: FROM POINT CLOUD TO NURBS
From drone-captured images of the Bear Valley Strip Mine, we generated a point cloud using Structure-from-Motion (SfM) photogrammetry. We manually edited the data to exclude points that were not in-situ folded sandstone surfaces, such as vegetation, mine tailings, and fill obscuring the synclines. The remaining point cloud of the folded surface still included irregularities (faults, fractures, and data gaps). Meshing this point cloud to create a 3D surface includes many of the small irregularities in the sandstone surface and non-physical interpolations; we sought a smoother representation of the fold, with physically plausible projections across data gaps. Non-uniform rational basis splines (NURBS) are ubiquitous in computer-aided design to produce 3D surfaces comprised of a network of polynomial functions. Unlike meshes, the orientation of NURBS is merely influenced by control points (not forced by them); the control points act as “magnets” pulling on a spline. We applied NURBS to the point cloud to produce a smooth, continuous folded surface that spans the extent of the exposed sandstone. Because the NURBS surface is a network of polynomial functions, the surface is mathematically operable within the language we use to describe fold form. Representing the geometry of this fold train is a step towards relating fold geometry to the observable strain, from which we can begin to ask further questions about fold kinematics and mechanics.