Image Recognition Using Generalized Correlation

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Publication Type technical report
School or College College of Engineering
Department Computing, School of
Creator McDonald, L. E. (Lee E.)
Title Image Recognition Using Generalized Correlation
Date 1977-08
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.,Personally identifiable information (PII) was redacted.
Type Text
Language eng
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Format Medium application/pdf
Format Extent 28,150,370 bytes
File Name ADA051755.pdf
ARK ark:/87278/s63z11nd
Setname ir_computersa
ID 105209
Reference URL https://collections.lib.utah.edu/ark:/87278/s63z11nd
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