Combining different information sources for reconstruction of 3D objects in digital images
Peter Axelsson, Eberhard Gülch, John Stokes, Carolyn J. Roesler · Close-Range Photogrammetry Meets Machine Vision · 1990
This paper presents parts of a research project designed to meet the need of automated or semi-automated object measuring and description in digital images. Different sources of information are used to provide the necessary information to generate different hypothesis regarding the object. Information can be provided by feature extraction, logical knowledge of the object, a CAD-model or similar. The main objective of the system is not in the field of object recognition but rather object description. The searched objct is prescribed as a generic model. To be able to compare hypothesis of models of different complexity other measures than maximum likelihood estimates have to be calculated. The method of Minimum Description Length is investigated for this purpose.