Perception based representations for computational colour
Vanrell i Martorell, Maria Isabel (Centre de Visió per Computador (Bellaterra, Catalunya))
Murray, Naila (Centre de Visió per Computador (Bellaterra, Catalunya))
Benavente i Vidal, Robert (Centre de Visió per Computador (Bellaterra, Catalunya))
Parraga, Carlos Alejandro (Centre de Visió per Computador (Bellaterra, Catalunya))
Otazu Porter, Xavier (Centre de Visió per Computador (Bellaterra, Catalunya))
Baldrich i Caselles, Ramon (Centre de Visió per Computador (Bellaterra, Catalunya))

Imprint:	Berlin, Heidelberg : Springer, 2011
Description:	15 pàg.
Abstract:	The perceived colour of a stimulus is dependent on multiple factors stemming out either from the context of the stimulus or idiosyncrasies of the observer. The complexity involved in combining these multiple effects is the main reason for the gap between classical calibrated colour spaces from colour science and colour representations used in computer vision, where colour is just one more visual cue immersed in a digital image where surfaces, shadows and illuminants interact seemingly out of control. With the aim to advance a few steps towards bridging this gap we present some results on computational representations of colour for computer vision. They have been developed by introducing perceptual considerations derived from the interaction of the colour of a point with its context. We show some techniques to represent the colour of a point influenced by assimilation and contrast effects due to the image surround and we show some results on how colour saliency can be derived in real images. We outline a model for automatic assignment of colour names to image points directly trained on psychophysical data. We show how colour segments can be perceptually grouped in the image by imposing shading coherence in the colour space.
Rights:	Tots els drets reservats.
Language:	Anglès
Series:	Lecture Notes in Computer Science ; 6626
Document:	Capítol de llibre ; recerca ; Versió acceptada per publicar
Subject:	Colour perception ; Psychophysical data ; Induction ; Saliency ; Naming ; Segmentation
Published in:	Computational Color Imaging: Proceedings of the Third Computational Colour Imaging Workshop (CCIW'2011), 2011, p. 16-30, ISBN 978-3-642-20404-3

DOI: 10.1007/978-3-642-20404-3_2

Postprint 16 p, 4.8 MB

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