Learning 3D object descriptions from a set of stereo vision observations

Abstract

Describes a system for learning models of polyhedral objects. The system does not require exact knowledge about poses, instead only some course requirements are needed. The system obtains a 3D wireframe model of the object together with the statistical data. This is illustrated with an example.<>