3-D model building for computer vision

This paper presents a Computer-Aided Geometric Design (CAGD) based approach for building 3-D models which can be used for the recognition of 3-D objects for industrial machine vision applications. The objects are designed using the Alpha_1 CAGD system developed at the University of Utah. A new method is given which uses the CAGD design and allows the points on the surface of the object to be sampled at the desired resolution, thus allowing the construction of multiresolution 3-D models. The resulting data structure of points includes coordinates of the points in 3-D space, surface normals and information about the neighboring points.