Knowledge-based image understanding using incomplete and generic models

A unified representation for image understanding that includes generic models of both objects and sensors is presented. Image understanding tasks such as model-based stereo fusion are performed by applying computation, specialization, and matching up to this representation. Although specialized techniques for a given task are more efficient than the generalized method described, the general formulation allows unforeseen combinations of a priori knowledge and images