Color is of interest to those working in computer vision largely because it is assumed to be helpful for recognition. This assumption has driven much work in color based image ind...
This paper presents a framework for using high-level visual information to enhance the performance of automatic color constancy algorithms. The approach is based on recognizing spe...
Esa Rahtu, Jarno Nikkanen, Juho Kannala, Leena Lep...
Abstract. Color constancy and chromatic edge detection are fundamental problems in artificial vision. In this paper1 we present a way to provide a visualization of color constancy...
Abstract. To date, RoboCup games have all been played under constant, bright lighting conditions. However, in order to meet the overall goal of RoboCup, robots will need to be able...
The ability of humans for color constancy, i.e. the ability to correct for color deviation caused by a different illumination, is far beyond computer vision performances: nowadays...
This paper introduces a novel convex kernel based method for color constancy computation with explicit illuminant parameter estimation. A simple linear render model is adopted and ...
A well-known color constancy method is based on the GreyWorld assumption i.e. the average reflectance of surfaces in the world is achromatic. In this article we propose a new hypo...
Conventional stereo matching algorithms assume color constancy on the corresponding opaque pixels in the stereo images. However, when the foreground objects with fractional bounda...
The aim of color constancy is to remove the effect of the
color of the light source. As color constancy is inherently
an ill-posed problem, most of the existing color constancy
...