Color constancy is an important part of the human visual system, as it allows us to perceive colors objects invariant color illumination that illuminating them. Modern digital cameras have be able recreate this property computationally. However, not a simple task, response each pixel on camera sensor product combination spectral characteristics illumination, object, and sensor. Therefore, many ...

Metamer mismatching (the phenomenon that two objects matching in color under one illuminant may not match under a different illuminant) potentially has important consequences for color perception. Logvinenko et al. [PLoS ONE10, e0135029 (2015)] show that in theory the extent of metamer mismatching can be very significant. This paper examines metamer mismatching in practice by computing the volu...

This paper proposes a new scheme for color constancy. A backpropagation (BP) neural network is used to model the nonlinear functional relationship between the white point chromaticity and coefficients of illuminant functions. The trained BP network can then be used to estimate the spectral power distribution of surrounding illuminant. Substituting this illuminant estimate into the finite-dimens...

This paper describes practical algorithms and experimental results using the sensor correlation method. We improve the algorithms to increase the accuracy and applicability to a variety of scenes. First, we use the reciprocal scale of color temperature, called "mired", in order to obtain perceptually uniform illuminant classification. Second, we propose to calculate correlation values between t...

In this paper, an algorithm is proposed to estimate the spectral power distribution of a light source at a pixel. The first step of the algorithm is forming a two-dimensional illuminant invariant chromaticity space. In estimating the illuminant spectrum, generalized inverse estimation and Wiener estimation methods were applied. The chromaticity space was divided into small grids and a weight ma...

The knowledge of the illuminant colour exposing an object or a scenario is very useful for computer vision and allows much more reliable colour based recognition and interpretation. In many computer vision applications humans are important parts of the scenario and the obvious detection of human skin colour is difficult due to varying illumination. Under certain conditions of direct illuminatio...

We investigated shape constancy in human shape from shading under variations of illuminant direction using a local attitude probe in conjunction with a perturbation analysis. Stimuli were computer generated and depicted ellipsoids in a structured setting. Even with these simple shapes subjects settings were systematically biased in the illuminant direction and were consistent with a regression ...

In this paper we investigate the effect of the illuminant tilt rotation over surface textures by analysing a set of image texture features extracted from the co-occurrence matrix. From the behaviour of each texture feature, a simple method able to predict the illuminant tilt angle of test images is developed. Moreover, the method is also used to perform a texture classification invariant to the...