Colour constancy beyond the classical receptive field
A Akbarinia, CA Parraga - IEEE transactions on pattern …, 2017 - ieeexplore.ieee.org
The problem of removing illuminant variations to preserve the colours of objects (colour
constancy) has already been solved by the human brain using mechanisms that rely largely …
constancy) has already been solved by the human brain using mechanisms that rely largely …
Efficient color constancy with local surface reflectance statistics
The aim of computational color constancy is to estimate the actual surface color in an
acquired scene disregarding its illuminant. Many solutions try to first estimate the illuminant …
acquired scene disregarding its illuminant. Many solutions try to first estimate the illuminant …
Color constancy by learning to predict chromaticity from luminance
A Chakrabarti - Advances in Neural Information Processing …, 2015 - proceedings.neurips.cc
Color constancy is the recovery of true surface color from observed color, and requires
estimating the chromaticity of scene illumination to correct for the bias it induces. In this …
estimating the chromaticity of scene illumination to correct for the bias it induces. In this …
Color constancy beyond standard illuminants
The effects of strong color casts in traditional, learning-based and data-driven color
constancy algorithms is analyzed. This is the first study investigating the response of color …
constancy algorithms is analyzed. This is the first study investigating the response of color …
Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution
Color constancy is a well-studied topic in color vision. Methods are generally categorized as
(1) low-level statistical methods,(2) gamut-based methods, and (3) learning-based methods …
(1) low-level statistical methods,(2) gamut-based methods, and (3) learning-based methods …
Combining bottom-up and top-down visual mechanisms for color constancy under varying illumination
Multi-illuminant-based color constancy (MCC) is quite a challenging task. In this paper, we
proposed a novel model motivated by the bottom-up and top-down mechanisms of human …
proposed a novel model motivated by the bottom-up and top-down mechanisms of human …
Improving color constancy by selecting suitable set of training images
With very simple implementation, regression-based color constancy (CC) methods have
recently obtained very competitive performance by applying a correction matrix to the results …
recently obtained very competitive performance by applying a correction matrix to the results …
A supervised combination strategy for illumination chromaticity estimation
Color constancy is an important perceptual ability of humans to recover the color of objects
invariant of light information. It is also necessary for a robust machine vision system. Until …
invariant of light information. It is also necessary for a robust machine vision system. Until …
A multi-hypothesis approach to color constancy
D Hernandez-Juarez, S Parisot… - Proceedings of the …, 2020 - openaccess.thecvf.com
Contemporary approaches frame the color constancy problem as learning camera specific
illuminant mappings. While high accuracy can be achieved on camera specific data, these …
illuminant mappings. While high accuracy can be achieved on camera specific data, these …
Deep specialized network for illuminant estimation
Illuminant estimation to achieve color constancy is an ill-posed problem. Searching the large
hypothesis space for an accurate illuminant estimation is hard due to the ambiguities of …
hypothesis space for an accurate illuminant estimation is hard due to the ambiguities of …