Some experiments with the interpretation strategy of a modular computer vision system

摘要

This paper is concerned with the general problem of computer vision. That is, given a colored input picture, design a system which segments the objects in the scene and interprets them appropriately. During the past few years, we have been engaged in the development of a modular, data-driven computer vision system to achieve this goal. The details have appeared elsewhere, so here we have primarily emphasized the mechanism for updating the hypothesized region interpretations. This is achieved by means of a relaxation labeling process which has continuous access to a scene model describing the picture under consideration.