Fuzzy set theory has been used to handle uncertainty in various aspects
of image processing, pattern recognition and computer vision.
High-level computer vision applications hold a great potential for
fuzzy set theory because of its natural language capabilities. Scene
description, a language-based interpretation of regions and their
relationships, is one such application that has used fuzzy sets with
some success. This paper extends our earlier and on-going work in scene
description in the following sense. If we have a linguistic description
(from the system or from a human), and we revisit the scene, perhaps
from a different orientation, can we match the scene objects and their
relationships to be confident that we are indeed in the same place. We
develop a scene matching methodology to accomplish this using
histograms of forces between objects.