Surface-reconstructing growing neural gas: A method for online construction of textured triangle meshes

摘要

In this paper we propose surface-reconstructing growing neural gas (SGNG), a learning based artificial neural network that iteratively constructs a triangle mesh from a set of sample points lying on an object's surface. From these input points SGNG automatically approximates the shape and the topology of the original surface. It furthermore assigns suitable textures to the triangles if images of the surface are available that are registered to the points.