Perceptual Asymmetry Between Hue Categories: Evidence from Human Color Categorization
A new research paper published on arXiv investigates the non-uniform distribution of human color categories in perceptual space, challenging existing computational models that assume fixed and evenly structured representations. The study presents an analytical extension of the COLIBRI fuzzy color model by examining perceptual asymmetry between hue categories. Utilizing large-scale human color categorization data, the authors introduce quantitative measures known as Wideness and Boundary Width, derived from fuzzy membership functions. The analysis reveals a significant imbalance: yellow occupies a compact, sharply constrained region, while green spans a broader interval with extended transition structures. These findings demonstrate that perceptual color categories are not only fuzzy but also geometrically non-uniform. Some categories act as narrow, specific labels, whereas others function as broad, tolerant regions. This research provides new insights into linguistic color categorization and enhances the interpretability of the COLIBRI framework for perceptually grounded color modeling, offering valuable implications for computer vision and artificial intelligence applications involving human-like color perception.
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Perceptual Asymmetry Between Hue Categories: Evidence from Human Color Categorization
A new research paper published on arXiv investigates the non-uniform distribution of human color categories in perceptual space, challenging existing computational models that assume fixed and evenly structured representations. The study presents an analytical extension of the COLIBRI fuzzy color model by examining perceptual asymmetry between hue categories. Utilizing large-scale human color categorization data, the authors introduce quantitative measures known as Wideness and Boundary Width, derived from fuzzy membership functions. The analysis reveals a significant imbalance: yellow occupies a compact, sharply constrained region, while green spans a broader interval with extended transition structures. These findings demonstrate that perceptual color categories are not only fuzzy but also geometrically non-uniform. Some categories act as narrow, specific labels, whereas others function as broad, tolerant regions. This research provides new insights into linguistic color categorization and enhances the interpretability of the COLIBRI framework for perceptually grounded color modeling, offering valuable implications for computer vision and artificial intelligence applications involving human-like color perception.
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