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.

中文翻译：

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同色异谱的分类观察者

提出了一种基于CIE 2006生理观察器函数系统为任何场大小生成分类颜色观察器函数（单个颜色匹配函数）的方法。该方法将拟议的Sarkar等人的分类观测器技术与Asano等人的基于生理的个体观测器模型和聚类技术相结合，以产生最优的分类观测器集。所需分类观察者的数量因应用而异，观看激光投影仪时预测单个观察者的比赛需要多达50个。但是，只有10个类别的观察者足以代表个性化彩色成像的色常种群。