12 results

Various tools for working with large point clouds

An implementation of various ICP (iterative closest point) features.

Fits a set of data points to a set of model points under a rigid body transformation

Iterative Closest Point using finite difference optimization to register 3D point clouds affine.

The function implements the sampling strategy of Geometrically Stable Sampling for the ICP Algorithm

Non rigid registration of surfaces

Matlab implementation of non-rigid iterative closest point

A fast, robust ICP, which is designed to work in hard scenarios e.g. clutter or bad initializations

ICP fit points in data to the points in model.

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

rigid transformation (including scaling) of similar 3D point clouds such as anatomical shapes.

Prototype implementation of a non-rigid point cloud registration algorithm using piece-wise tricubic polynomials as transformation model.