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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

Title	Page 33
Setname	ir_computersa
ID	105162
Reference URL	https://collections.lib.utah.edu/ark:/87278/s63z11nd/105162