Perception based representations for computational colour

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 colou...

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Detalles Bibliográficos
Autores: Vanrell i Martorell, Maria Isabel|||0000-0002-1567-9293, Murray, Naila, Benavente i Vidal, Robert|||0000-0001-9819-4445, Parraga, Carlos Alejandro|||0000-0002-3809-241X, Otazu Porter, Xavier|||0000-0002-4982-791X, Baldrich i Caselles, Ramon|||0000-0002-0596-7603
Tipo de recurso: capítulo de libro
Fecha de publicación:2011
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:275076
Acceso en línea:https://ddd.uab.cat/record/275076
https://dx.doi.org/urn:doi:10.1007/978-3-642-20404-3_2
Access Level:acceso abierto
Palabra clave:Colour perception
Psychophysical data
Induction
Saliency
Naming
Segmentation
Descripción
Sumario: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.