Mutual information (MI) has emerged in recent years as an effective similarity measure for comparing images. One drawback of MI, however, is that it is calculated on a pixel by pix...
Daniel B. Russakoff, Carlo Tomasi, Torsten Rohlfin...
We address visual correspondence problems without assuming that scene points have similar intensities in different views.This situation is common, usually due to non-lambertian sc...
Abstract. This paper presents a novel measure of image similarity, called quantitative-qualitative measure of mutual information (Q-MI), for multi-modal image registration. Convent...
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
Spatio-temporal interest region detectors can be used in the analysis of video to determine sparse, informative regions as candidates for feature extraction. In this paper we comp...