How FastSCAN works
FastSCAN II utilizes an innovative development of the implicit modelling method known as Radial Basis Functions (RBF). An implicit modelling algorithm determines how known data points are used to imply (or estimate) unknown data points to create surfaces.
The revolutionary FastRBF™ algorithm saves many hours of work repairing holes and defects in scans without compromising original scan detail.
FastRBF also offers advanced smoothing and noise rejection techniques along with sophisticated mesh simplification.
Unlike traditional RBFs, FastRBF quickly handles large datasets of well over 1,000,000 points on ordinary computing hardware. Filtering and approximation methods make FastRBF™ ideal for visualizing and processing non-uniformly sampled noisy data. FastRBF has extraordinary extrapolation capabilities, even when large gaps occur in a data set.
FastSCAN offers a faster, better-quality scan:
- Automatic hole filling;
- Smooth extrapolation of surfaces;
- Mesh simplification;
- Preservation of scan detail;
- Guaranteed watertight, manifold meshes;
- More uniform mesh facets;
- Smoothing of scans
- User control of resolution, smoothing, and simplification.