Research output: Contribution to journal › Article › peer-review
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 language | English |
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Pages (from-to) | 518-529 |
Number of pages | 12 |
Journal | Pattern Recognition and Image Analysis |
Volume | 24 |
Issue number | 4 |
DOIs | |
State | Published - 16 Dec 2014 |
ID: 49224998