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Colour in Context
Research group Computer Vision Center |
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Research projects | Description | 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. |
| Physics-based color image segmentation Based on an analysis of the bi-directional reflection model we propose a method which is particularly suited for segmentation in the presence of shadow and highlight edges. |
| 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. |
| Camera characterization There seems to be a feature of our work as computer vision or visual perception scientists that we sooner or later run into the need of a reliable database of calibrated natural images. |
| Color attention for object recognition We propose a novel image representation where color attention is used to sample the shape description of the image. |
| Color Feature Detection for Object Recognition Luminance edges are still the main source of information in the state-of-the-art methods for feature detection. We propose to exploit the statistical structure of luminance and color in natural images to extract the most discriminative features from the viewpoint of information theory for object recognition. |
| Chromatic Induction We propose a computational model that reprodce chromatic induction processes unifying chromatic assimilation and chromatic contrast into a single perceptual process. |
| Image Compression The aim of this work is to apply perceptual concepts to defina a perceptual pre-quantizer in order to improve image compression algorithms. |
| High Dynamic Range We try to perform a High Dynamic Range compression of color images using perceptual criterias. |
| Bottom-up visual saliency In the first steps of this project, we try to obtain saliency maps from color images using perceptual characteristics |