Machine Learning in Surface Reconstruction

cloud. It is based on a special type of Neural Networks, the Growing Cell
Structures, and learns the geometry of the target space in a "competitive
learning" process. The network expands incrementally by splitting its most
active vertices and its quality is improved by removing the least active
vertices. The topology is learned with statistics based operations which
create boundaries and merge them to create handles.