Efficient representation of in-plane rotation within a PCA framework
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摘要
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.
论文关键词:Appearance based recognition,Principle component analysis,Pose estimation
论文评审过程:Received 9 February 2004, Revised 13 July 2005, Accepted 13 July 2005, Available online 30 August 2005.
论文官网地址:https://doi.org/10.1016/j.imavis.2005.07.007