Template matching method to blurred image using spectral theory

Abstract

Scale-space image theory, in which a Gaussian filter with set scale parameters is used to generate a series of blurred images, has become the basic technique of computer vision. We have proposed to apply a spectral theory to compress the scale space and demonstrated some applications such as blur image generation and SIFT. In this paper, as another application of spectral theory, we propose template matching method for blurred image. A basic idea of the proposed method is changing the scale parameter of the template to fit the input blurred image. Our experimental results show that the proposed method detects the XY position and scale of the target object accurately.