Colour in Context
Research group Computer Vision Center |
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People | Publications | Research projects | Downloads |
| 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 |
| Bottom-up visual saliency In this project, we obtain saliency maps from color images using perceptual characteristics. | 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 |
| 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 |
| 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 |