Literature DB >> 18237956

Karhunen-Loéve expansion of a set of rotated templates.

Matjaz Jogan1, Emil Zagar, Ales Leonardis.   

Abstract

In this paper, we propose a novel method for efficiently calculating the eigenvectors of uniformly rotated images of a set of templates. As we show, the images can be optimally approximated by a linear series of eigenvectors which can be calculated without actually decomposing the sample covariance matrix.

Year:  2003        PMID: 18237956     DOI: 10.1109/TIP.2003.813141

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  4 in total

1.  Fourier-Bessel rotational invariant eigenimages.

Authors:  Zhizhen Zhao; Amit Singer
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2013-05-01       Impact factor: 2.129

2.  Steerable Principal Components for Space-Frequency Localized Images.

Authors:  Boris Landa; Yoel Shkolnisky
Journal:  SIAM J Imaging Sci       Date:  2017-04-13       Impact factor: 2.867

3.  Computing steerable principal components of a large set of images and their rotations.

Authors:  Colin Ponce; Amit Singer
Journal:  IEEE Trans Image Process       Date:  2011-05-02       Impact factor: 10.856

4.  Fast Steerable Principal Component Analysis.

Authors:  Zhizhen Zhao; Yoel Shkolnisky; Amit Singer
Journal:  IEEE Trans Comput Imaging       Date:  2016-01-18
  4 in total

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