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
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Colour group | cat.uab.cat Reviews
https://cat.uab.cat
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
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Publications | Colour group
http://cat.uab.cat/Publications
Middot; Research projects. Select from this list. Include manuals, unpublishied. Display the complete list. Multi-Illuminant Estimation with Conditional Random Fields. Shida Beigpour, Christian Riess. Joost van de Weijer. IEEE Transactions on Image Processing, Volume 23, Number 1, page 83- 95 - jan 2014. A Neurodynamical Model of Brightness Induction in V1. PLoS ONE - may 2013. Chromatic settings and the structural color constancy index. Jordi Roca-Vila, C. Alejandro Parraga. Naila Murray, Maria Vanrell.
People | Colour group
http://cat.uab.cat/Public/People
Middot; Research projects. E-mail: maria AT cvc.uab.cat. E-mail: ramon AT cvc.uab.cat. E-mail: robert AT cvc.uab.cat. E-mail: xotazu AT cvc.uab.cat. E-mail: aparraga AT cvc.uab.cat. Van de Weijer, Joost. E-mail: joost AT cvc.uab.cat. E-mail: susana.alvarez AT urv.cat. E-mail: arash.akbarinia AT cvc.uab.cat. E-mail: rbalague AT cvc.uab.cat. E-mail: cdavesa AT cvc.uab.cat. E-mail: irafegas AT cvc.uab.cat. E-mail: david.rojas AT cvc.uab.cat. E-mail:mserra AT cvc.uab.cat. E-mail: ximcer AT cvc.uab.cat.
Download | Colour group
http://cat.uab.cat/downloads
Middot; Research projects. Fast anisotropic gauss filtering. Fast anisotropic gauss filtering. Texton theory revisited: a bag-of-words approach to combine textons. Color Constancy by Category Correlation. Color Constancy by Category Correlation. Color Naming - TSE model (boundaries psychophysically measured). Psychophysical measurements to model inter-colour regions of colour-naming space. Names and Shades of Color for Intrinsic Image Estimation. Names and Shades of Color for Intrinsic Image Estimation.
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David Rojas Homepage
http://www.cat.uab.es/~darojas/FeatureDetection/FeatureDetection.html
Middot; Research projects. Color-based Feature Detectors and Descriptors. This page is focused on the use of color in. Local feature detection and description. Laplacian-of-Gaussian Detector: From luminance to color. Salience refers to the physical, bottom-up distinctiveness. Of an object. In computer vision, we use salience to focus on regions of interest and not the whole image,. B) shape salience-based detection. C) color salience-based detection. B) color edges detected. B) color edges detected.
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Colour group
Middot; Research projects. 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. Color attention for object recognition. Psychophysical Error Measure for Colour Constancy.
Colour group
Middot; Research projects. 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. Physics-based color image segmentation. 2008 Colour in context Group.
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