The estimation of parametric global motion is one of the cornerstones of computer vision. Such schemes are able to estimate various motion models (translation, rotation, affine, p...
We consider the template matching problem, in which one wants to find all good enough occurrences of a pattern template P from a larger image I. The current standard of template m...
In this paper we propose a novel algorithm to estimate motion parameters from a single blurred image, exploiting geometrical relations between image intensities at pixels of a reg...
Despite much research on patch-based descriptors, SIFT remains the gold standard for finding correspondences across images and recent descriptors focus primarily on improving spe...
What is presented in this paper is our work in the area of image organization and retrieval in Image Databases using global color features and spatial color distribution of images....