Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …

The existence of large image datasets such as the set of photos on the World Wide Web
make it possible to build powerful generic models for low-level image attributes like color …

We investigate texture classification from single images obtained under unknown viewpoint
and illumination. A statistical approach is developed where textures are modelled by the …

This paper approaches the problem of finding correspondences between images in which
there are large changes in viewpoint, scale and illumination. Recent work has shown that …

Color names are required in real-world applications such as image retrieval and image
annotation. Traditionally, they are learned from a collection of labeled color chips. These …

Computational color constancy is a fundamental prerequisite for many computer vision
applications. This paper presents a survey of many recent developments and state-of-the-art …

SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is
designed mainly for gray images. However, color provides valuable information in object …

This paper is concerned with the derivation of a progression of shadow-free image
representations. First, we show that adopting certain assumptions about lights and cameras …

Computer vision is one of many areas that wants to understand the process of human
functionality and copy that process with the intention to complement human life with …

Abstract 'Invariant regions' are self-adaptive image patches that automatically deform with
changing viewpoint as to keep on covering identical physical parts of a scene. Such regions …