TY  - CONF
AU  - Maria Vanrell
AU  - Naila Murray
AU  - Robert Benavente
AU  - C. Alejandro Parraga
AU  - Xavier Otazu
AU  - Ramon Baldrich
A2  - CCIW
ED  - Raimondo Schettini, Shoji Tominaga
PY  - 2011//
TI  - Perception Based Representations for Computational Colour
T2  - LNCS
BT  - 3rd International Workshop on Computational Color Imaging
SP  - 16
EP  - 30
VL  - 6626
PB  - Springer-Verlag
KW  - colour perception
KW  - induction
KW  - naming
KW  - psychophysical data
KW  - saliency
KW  - segmentation
N2  - 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.
SN  - 978-3-642-20403-6
UR  - http://dl.acm.org/citation.cfm?id=1986356.1986359
L1  - http://refbase.cvc.uab.es/files/VMB2011.pdf
N1  - CIC
ID  - Maria Vanrell2011
ER  -