The automatic generation of 3D object model from range image

This paper presents an algorithmic procedure for the generation of a 3D wireframe model from range image. The basic idea is to represent a surface by dominant points which have important shape attributes. To determine dominant points, we propose a criterion based on 3D invariant characteristics of surfaces, which we call mean-square curvature. This quantity has some desirable properties and, compared to conventional Gaussian curvature or mean curvature, is more suitable for dominant point selection. It also allows a physical explanation. The 3D wireframe model is constructed by detecting dominant points followed by triangulating them in 3D space. The algorithms are tested on a real range image and the results are shown