Accession Number:

ADA229320

Title:

Indexing for Visual Recognition from a Large Model Base

Descriptive Note:

Memorandum rept.

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s):

Report Date:

1990-08-01

Pagination or Media Count:

35.0

Abstract:

This paper describes a new approach to the model base indexing stage of visual object recognition. Fast model base indexing indexing of 3D objects is achieved by accessing a database of encoded 2D views of the objects using a fast 2D matching algorithm. The algorithm is specifically intended as a plausible solution for the problem of indexing into very large model bases that general purpose vision systems and robots will have to deal with in the future. Other properties that make the indexing algorithm attractive are that it can take advantage of most geometric and non-geometric properties of features without modification, and that it addresses the incremental model acquisition problems for 3D objects. SDW

Subject Categories:

  • Anatomy and Physiology
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE