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Proceedings Paper

Data-driven indexing mechanism for the recognition of polyhedral objects
Author(s): Stewart McLean; Peter Horan; Terry M. Caelli
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Paper Abstract

This paper is concerned with the problem of searching large model databases. To date, most object recognition systems have concentrated on the problem of matching using simple searching algorithms. This is quite acceptable when the number of object models is small. However, in the future, general purpose computer vision systems will be required to recognize hundreds or perhaps thousands of objects and, in such circumstances, efficient searching algorithms will be needed. The problem of searching a large model database is one which must be addressed if future computer vision systems are to be at all effective. In this paper we present a method we call data-driven feature-indexed hypothesis generation as one solution to the problem of searching large model databases.

Paper Details

Date Published: 1 February 1992
PDF: 13 pages
Proc. SPIE 1609, Model-Based Vision Development and Tools, (1 February 1992); doi: 10.1117/12.57114
Show Author Affiliations
Stewart McLean, Deakin Univ. (Australia)
Peter Horan, Deakin Univ. (Australia)
Terry M. Caelli, Univ. of Melbourne (Australia)

Published in SPIE Proceedings Vol. 1609:
Model-Based Vision Development and Tools
Rodney M. Larson; Hatem N. Nasr, Editor(s)

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