On recognition of features in polyhedral scenes
P. Grossmann · 1990
A system that incorporates both high level representation of image data and a recognition and interpretation capability is described. Both competences are based on a structural, rather than metric, description of objects and image features and the corresponding models of object categories. The current implementation in the domain of polyhedral scenes transforms a set of 3D segments, our basic data representation, into a set of shape primitives such as planes and convex polyhedra (boxes) or planar configurations of segments (patterns). The interpretation module then uses its knowledge of the application domain to interrogate the representation in search for the expected evidence of a particular object category. 1