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).

Original languageEnglish
Pages (from-to)518-529
Number of pages12
JournalPattern Recognition and Image Analysis
Volume24
Issue number4
DOIs
StatePublished - 16 Dec 2014

    Research areas

  • canonical correlation analysis, comparison of semantically unrelated images, phase correlation, structural similarity index

    Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

ID: 49224998