This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
We address the automatic classification of scanned input media in order to improve color calibration. Since scanner responses vary significantly according to the type of input, a ...
Inverse halftoning is the process to retrieve a (gray) continuous-tone image from a halftone. Recently, machinelearning-based inverse halftoning techniques have been proposed. Dec...
In this paper, the matching of SIFT-like features [5] between images is studied. The goal is to decide which matches between descriptors of two datasets should be selected. This m...
Abstract. The automation of segmentation of medical images is an active research area. However, there has been criticism of the standard of evaluation of methods. We have comprehen...
Kolawole O. Babalola, Brian Patenaude, Paul Alja...