Efficient representation of in-plane rotation within a PCA framework

Authors:
M. Sengel;H. Bischof
Affiliations:
Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16 2.OG, A-8010 Graz, Austria;Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16 2.OG, A-8010 Graz, Austria
Venue:
Image and Vision Computing
Year:
2005

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Abstract

In this paper, we derive an analytic representation of the eigenvectors and coefficients for in-plane rotated images. This, on the one hand, allows an efficient PCA-basis calculation in the learning stage and on the other hand a direct computation of the rotation angle in the recognition stage. In the experimental section, we demonstrate that the new method is feasible and the recognition and out-of-plane results are comparable to the standard method.