VIS: A virtual image system for image‐understanding research

Abstract
Image understanding is concerned with the elucidation of a computational base inherent in perceiving a three‐dimensional world using vision. This paper describes a low‐level (or early) vision software system, developed in the context of current collaborative research activities in image understanding, which goes some way toward fulfilling the goals of portability, ease of use, and general‐purpose extensibility. Since visual perception uses several types of disparate, but interrelated, information in some explicit cognitive organization, a central objective of the work is to represent this information in a coherent integrated manner which allows one interactively to investigate the properties of the interdependency between information types.

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