The need for remote tools for healthcare monitoring has never been more apparent. Camera
measurement of vital signs leverages imaging devices to compute physiological changes by …

Improvements in color constancy have arisen from the use of convolutional neural networks
(CNNs). However, the patch-based CNNs that exist for this problem are faced with the issue …

In this work we describe a Convolutional Neural Network (CNN) to accurately predict the
scene illumination. Taking image patches as input, the CNN works in the spatial domain …

Background subtraction is a key prerequisite for a wide range of image processing
applications due to its pervasiveness in various contexts. In particular, video surveillance …

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 …

This paper focuses on correcting a camera image that has been improperly white-balanced.
This situation occurs when a camera's auto white balance fails or when the wrong manual …

In this paper, we present a three-stage method for the estimation of the color of the illuminant
in RAW images. The first stage uses a convolutional neural network that has been specially …

Illuminant estimation is a key step for computational color constancy. Instead of using the
grey world or grey edge assumptions, we propose in this paper a novel method for …

Virtual facial avatars will play an increasingly important role in immersive communication,
games and the metaverse, and it is therefore critical that they be inclusive. This requires …

The double-opponent (DO) color-sensitive cells in the primary visual cortex (V1) of the
human visual system (HVS) have long been recognized as the physiological basis of color …