Image Recognition Using Generalized Correlation

Update item information
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
Date Created 2016-10-27
Date Modified 2016-11-04
ID 105209
Reference URL
Back to Search Results