We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness
and efficiency in illumination estimation. The grayness index, GI in short, is derived using the …

Regressing the illumination of a scene from the representations of object appearances is
popularly adopted in computational color constancy. However, it's still challenging due to …

We introduce a novel formulation of temporal color constancy which considers multiple
frames preceding the frame for which illumination is estimated. We propose an end-to-end …

Plant color is a key feature for estimating parameters of the plant grown under different
conditions using remote sensing images. In this case, the variation in plant color should be …

We present a statistical color constancy method that relies on novel gray pixel detection and
mean shift clustering. The method, called Mean Shifted Grey Pixel--MSGP, is based on the …

In the human and computer vision, color constancy is the ability to perceive the true color of
objects in spite of changing illumination conditions. Color constancy is remarkably …

One of the important problems in digital images is that the object's color changes as the light
source's color changes. Color constancy methods are used to solve these problems. Color …

The intrinsic properties of the ambient illuminant significantly alter the true colors of objects
within an image. Most existing color constancy algorithms assume a uniformly lit scene …

With very simple implementation, regression-based color constancy (CC) methods have
recently obtained very competitive performance by applying a correction matrix to the results …

Abstract Two-stage Cumulative Attribute (CA) regression has been found effective in
regression problems of computer vision such as facial age and crowd density estimation …