Two-dimensional canonical correlation analysis
SCIE
SCOPUS
- Title
- Two-dimensional canonical correlation analysis
- Authors
- Lee, SH; Choi, S
- Date Issued
- 2007-10
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGI
- Abstract
- In this letter, we present a method of two-dimensional canonical correlation analysis (2D-CCA) where we extend the standard CCA in such a way that relations between two different sets of image data are directly sought without reshaping images into,vectors. We stress that 2D-CCA dramatically reduces the computational complexity, compared to the standard CCA. We show the useful behavior of 2D-CCA through numerical examples of correspondence learning between face images in different poses and illumination conditions.
- Keywords
- canonical correlation analysis (CCA); correspondence learning; two-dimensional analysis
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/23152
- DOI
- 10.1109/LSP.2007.896
- ISSN
- 1070-9908
- Article Type
- Article
- Citation
- IEEE SIGNAL PROCESSING LETTERS, vol. 14, no. 10, page. 735 - 738, 2007-10
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