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Categorical observers for metamerism

Yuta Asano, Mark D. Fairchild

2020Color Research & Application23 citationsDOI

Abstract

Abstract A method is proposed to generate categorical colour observer functions (individual colour matching functions) for any field size based on the CIE 2006 system of physiological observer functions. The method combines proposed categorical observer techniques of Sarkar et al with a physiologically‐based individual observer model of Asano et al and a clustering technique to produce the optimal set of categorical observers. The number of required categorical observers varies depending on an application with as many as 50 required to predict individual observers' matches when a laser projector is viewed. However, 10 categorical observers are sufficient to represent colour‐normal populations for personalized colour imaging. The proposed and recommended categorical observers represent a robust and inclusive technique to examine and quantify observer metamerism in any application of colorimetry.

Topics & Concepts

Categorical variableObserver (physics)MathematicsArtificial intelligencePattern recognition (psychology)Computer scienceComputer visionStatisticsQuantum mechanicsPhysicsColor Science and ApplicationsInfrared Target Detection MethodologiesRemote Sensing in Agriculture
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