Accession Number:

ADA142174

Title:

Evidence Accumulation for Spatial Reasoning.

Descriptive Note:

Technical rept.,

Corporate Author:

MARYLAND UNIV COLLEGE PARK CENTER FOR AUTOMATION RESEARCH

Report Date:

1984-03-01

Pagination or Media Count:

60.0

Abstract:

In a previous report the authors described the organization of an aerial image analysis system. There are three levels of representation and control in that system A High Level Expert HLE that utilizes a symbolic hierarchical model for the possible spatial organization of objects in the image to build partial, local interpretations of the image and to determine where to further analyze the image and what analyses to perform a Model Selection Expert that determines, on the basis of contextual information provided by the HLE, the most promising appearance descriptions to use in searching for objects and structures in the image and a Low Level Vision Expert that finds pictorial entities that satisfy these appearance descriptions by selecting image processing methods to find the appropriate entities. Emphasis has been on the High Level Expert, which is based on a general method of evidence accumulation to perform flexible spatial reasoning. This paper contains a detailed description of the evidence accumulation process and its associated consistency checking process.

Subject Categories:

  • Cartography and Aerial Photography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE