Representation and comparison methods for semantically different images
| Autor: | Georgy Kukharev, E. I. Kamenskaya, N. L. Shchegoleva |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
business.industry
Feature vector Pattern recognition Space (commercial competition) Computer Graphics and Computer-Aided Design Similarity (network science) Phase correlation Pattern recognition (psychology) Computer Vision and Pattern Recognition Artificial intelligence Canonical correlation business Representation (mathematics) Projection (set theory) Mathematics |
| Zdroj: | Pattern Recognition and Image Analysis. 24:518-529 |
| ISSN: | 1555-6212 1054-6618 |
| DOI: | 10.1134/s1054661814040105 |
| Popis: | This paper discusses the methods of presentation and comparison of semantically unrelated images with an assessment of their similarity in original feature space, and in the Space of Canonical Variables (SCV). The projection of source images in SCV is implemented using a two-dimensional canonical correlation analysis algorithm (2D CCA/2D KLT). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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