Abstract. In this paper, we propose a new definition and an exact algorithm for the discrete bisector function, which is an important tool for analyzing and filtering Euclidean s...
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
Abstract. We present a novel template matching framework for detecting geometrically transformed objects. A template is a simplified representation of the object of interest by a s...
We present a domain-specific approach to generate highperformance hardware-software partitioned implementations of the discrete Fourier transform (DFT) in fixed point precision....
Paolo D'Alberto, Peter A. Milder, Aliaksei Sandryh...
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...