  This paper presents an efficient adaptation and application of the
Dempster-Shafer theory of evidence, one that can be used effectively in a
massively parallel hierarchical system for visual pattern perception. It
describes the techniques used, and shows in an extended example how they serve
to improve the system's performance as it applies a multiple-level set of
processes.
