Accession Number:

ADA461040

Title:

An Inductive Approach to Figural Perception

Descriptive Note:

Technical note no. 325

Corporate Author:

SRI INTERNATIONAL MENLO PARK CA ARTIFICIAL INTELLIGENCE CENTER

Personal Author(s):

Report Date:

1984-09-19

Pagination or Media Count:

26.0

Abstract:

The problem of interpreting single images of abstract figures is addressed. It is argued that neither rule-based deductive inference nor model-based matching are satisfactory computational paradigms for this problem. As an alternative, an inductive approach consisting of two parts is presented. The first part involves a scheme, based on differential geometry, for describing the shapes of curves and surfaces, and for generating these descriptions from images. The second part of the approach relies on a criterion for deciding which description, among the candidates allowed by the constraints in the image, is to be preferred. This criterion -- minimum entropy -- is related to concepts from Gestalt psychology, thermodynamics, and information theory. Several examples are given to illustrate the inductive approach.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE