Contents | 46 of 79
Page 46
| 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 |
Page Metadata
| Title | Page 46 |
| Setname | ir_computersa |
| ID | 105175 |
| Reference URL | https://collections.lib.utah.edu/ark:/87278/s63z11nd/105175 |