Colour in Context
Research group Computer Vision Center |
![]() |
![]() |
![]() |
![]() |
![]() |
People | Publications | Research projects | Downloads |
| 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. | 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 |
| 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 |
| 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 |
| 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. | Related publications |