Image recognition using generalized correlation

Update Item Information
Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator McDonald, Lee Edwin
Title Image recognition using generalized correlation
Date 1977
Description This paper investigates the use of generalized cross-correlation in pattern matching when the objects may be of one or two dimensions. Generalized correlation can be used to determine the amount of dilatation and rotation between a given template and an object, in addition to determining the relative translation. Two techniques are discussed which break this four-dimensional correlation into two two-dimensional correlations making the problem computationally feasible. The techniques were developed for a specific class of images, however they can be applied to a more general class.
Type Text
Publisher University of Utah
First Page 1
Last Page 68
Subject Image recognition; Generalized correlation
Language eng
Bibliographic Citation McDonald, L. E. (1977). Image recognition using generalized correlation. 1-68. CSTD-77-003.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 24,112,395 bytes
Identifier ir-main,16407
ARK ark:/87278/s6gq7gb1
Setname ir_uspace
ID 706339
Reference URL https://collections.lib.utah.edu/ark:/87278/s6gq7gb1
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