Multiresolution feature-based image registration

Abstract

Image registration is the fundamental task used to match two or more partially overlapping images and stitch these images into one panoramic image comprising the whole scene. To register two images, the coordinate transformation between a pair of images must be found. In this paper, a multiresolution feature-based method is developed to efficiently estimate an eight-parametric projective transformation model between pairs of images. The proposed method has been tested and work well on many images of static scene taken with a hand-held digital still camera.