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Data-driven indexing mechanism for the recognition of polyhedral objects

Version 2 2024-06-03, 18:58
Version 1 2020-06-08, 15:49
conference contribution
posted on 2024-06-03, 18:58 authored by S McLean, P Horan, Terry Caelli
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.

History

Volume

1609

Pagination

121-133

Location

Boston, Mass.

Start date

1991-11-14

End date

1991-11-15

ISSN

0277-786X

ISBN-10

0819407461

Language

eng

Publication classification

EN.1 Other conference paper

Editor/Contributor(s)

Larson RM, Nasr HN

Title of proceedings

Proceedings of the 1991 Model-Based Vision Development and Tools Conference

Event

Model-based vision development and tools. Conference (1991 : Boston, Mass.)

Publisher

SPIE - the International Society for Optical Engineering

Place of publication

Bellingham, Wash.

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