一组旋转模板的 Karhunen-Loéve 展开。

Karhunen-Loéve expansion of a set of rotated templates.

机构信息

Faculty of Computer and Information Science, University of Ljubljana, SI-1001 Ljubljana, Slovenia.

出版信息

IEEE Trans Image Process. 2003;12(7):817-25. doi: 10.1109/TIP.2003.813141.

DOI:10.1109/TIP.2003.813141

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.

摘要

在本文中，我们提出了一种新的方法，可以有效地计算一组模板的均匀旋转图像的特征向量。正如我们所展示的，这些图像可以通过一个线性的特征向量序列进行最佳逼近，而无需实际分解样本协方差矩阵。