Template matching robust to intensity variations and noise using eigen-decomposed templates

This paper proposes improved eigen-decomposition template matching. Eigen-decomposition template matching is a method of detecting the displacement and the rotational angle more accurately than traditional rotational correlation matching methods such as the cross-correlation method. The proposed method calculates the correlation by matching images determined by eigen-decomposition of the template image to the input image instead of matching the template image to the input image directly. This paper also proposes a method of detecting the displacement and rotational angle even if the input image includes large translation displacements and intensity variations. The experimental results show that the proposed method can detect the displacement and rotational angle more accurately than the previous method for images with noise and illumination variance. © 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(10): 27–36, 2012; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11389