Colour in Context
Research group Computer Vision Center |
![]() |
![]() |
![]() |
![]() |
![]() |
People | Publications | Research projects | Downloads |
| Chromatic Induction We propose a computational model that reprodce chromatic induction processes unifying chromatic assimilation and chromatic contrast into a single perceptual process. | Related publications |
| 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 |
| Chromatic Settings: new colour constancy paradigm In our study, we developed a new colour constancy paradigm, termed chromatic setting, which allows measuring the precise location of nine categorically-relevant points in colour space under immersive illumination. Additionally, we derived from these measurements a new colour constancy index which takes into account the magnitude and orientation of the chromatic shift, memory effects and the interrelations among colours and a model of colour naming tuned to each observer/adaptation state. | Related publications |
| Color-Texture descriptors We propose color-texture descriptors that are directly based on a perceptual theory of texture discrimination (Julesz’s Texton Theory). | Related publications |
| 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. | Related publications |