Search results for "COLOR APPEARANCE"

showing 2 items of 2 documents

Spatio-Chromatic Adaptation via Higher-Order Canonical Correlation Analysis of Natural Images

2014

Independent component and canonical correlation analysis are two general-purpose statistical methods with wide applicability. In neuroscience, independent component analysis of chromatic natural images explains the spatio-chromatic structure of primary cortical receptive fields in terms of properties of the visual environment. Canonical correlation analysis explains similarly chromatic adaptation to different illuminations. But, as we show in this paper, neither of the two methods generalizes well to explain both spatio-chromatic processing and adaptation at the same time. We propose a statistical method which combines the desirable properties of independent component and canonical correlat…

LightVisual SystemRECEPTIVE-FIELD PROPERTIESlcsh:MedicineSocial and Behavioral SciencesBioinformaticsSTRIATE CORTEXCOLOR APPEARANCEImage Processing Computer-AssistedPsychophysicsPsychologylcsh:ScienceVisual CortexMathematicsCoding MechanismsMultidisciplinarySPECTRAL DESCRIPTIONSStatisticsSensory SystemsPRIMARY VISUAL-CORTEXDATA SETSPrincipal component analysisSensory PerceptionSPATIAL STRUCTURECanonical correlationAlgorithmsColor PerceptionResearch ArticleeducationColorCHROMATIC MECHANISMS114 Physical sciencesArtificial IntelligenceComponent (UML)PsychophysicsHumansComputer SimulationChromatic scaleStatistical MethodsBiologyProbabilityComputational NeuroscienceModels StatisticalINDEPENDENT COMPONENT ANALYSISbusiness.industrylcsh:RNeurosciencesComputational BiologyPattern recognitionIndependent component analysisData set2-STAGE LINEAR RECOVERYChromatic adaptationlcsh:QArtificial intelligencebusinessPhotic StimulationMathematicsNeurosciencePLoS ONE
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Analyzing the metrics of the perceptual space in a new multistage physiological colour vision model

2009

In this work, the metric of a new multistage colour vision model, ATTD05, is assessed and a new colour difference formula is suggested. Firstly, the uniformity of the ATTD05 colour space was compared with that of CIECAM02 for some Munsell samples, because if the model yields a uniform perceptual space, we will be able to implement a colour difference formula as a Euclidian distance between two points. Secondly, we developed a new space based on the perceptual descriptors of the model: brightness, hue, colourfulness, and saturation. After that, we calculated the free parameters of the space that better fit the measured and experimental data of two datasets (small-magnitude and large-magnitud…

business.industryComputer scienceGeneral Chemical Engineeringmedia_common.quotation_subjectColour VisionNeural modelHuman Factors and ErgonomicsUniform colour spaceGeneral ChemistrySpace (commercial competition)Color appearance modelsColor difference metricsPerceptionChristian ministryComputer visionArtificial intelligencebusinessmedia_commonÓptica
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