People	Publications	Research projects	Downloads

The CVC colour group focuses its research in areas related to computational colour within computer vision. Our long term objective is to create computer algorithms that simulate human perception and categorisation of colour. To achieve this aim, we study colour as a visual cue in its context. Our main research lines are colour constancy, induction, saliency, texture,segmentation and naming.

Parametric model for Color Naming A full parametric model has been defined on the CIE lab space. Each of the 11 basic colour categories is modelled with a fuzzy set characterized by a combination of sigmoids as membership functions.

Related publications

Color attention for object recognition We propose a novel image representation where color attention is used to sample the shape description of the image.

Related publications

Psychophysical Error Measure for Colour Constancy In this paper we propose a new evaluation in order to compare solutions of different colour constancy algorithms. this new approach is based on a psychophysical experiment to relate this new evaluation with human perception instead of physical properties.

Related publications

Bottom-up visual saliency In this project, we obtain saliency maps from color images using perceptual characteristics.

Related publications

High Dynamic Range We try to perform a High Dynamic Range compression of color images using perceptual criterias.

Related publications