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自然表面的视觉愉悦性和不愉快性

Narumi Ogawa¹, Hiromi Sato², Shiori Mori³

¹Department of Life Sciences, The University of Tokyo, Japan; Japan Society for the Promotion of Science, Japan.

Vision research

|April 19, 2025

概括

人类对自然纹理的情绪反应与基本的图像统计数据有关,而不是表面特性. 低级图像特征显著影响我们对自然表面的审美判断.

科学领域:

视觉感知视觉感知视觉感知
审美学在审美学方面
计算神经科学是一种计算神经科学.

背景情况:

人类对自然刺激的情感反应已经得到了充分的证据.
有证据表明,审美判断与简单的图像特征之间存在联系.
了解驱动这些反应的图像统计数据至关重要.

研究的目的:

研究低级图像统计和人类对自然表面的情感评分之间的关系.
为了确定合成图像是否捕捉到自然纹理的情感品质.
为了确定预测愉快和不愉快的特定图像统计数据.

主要方法:

收集了194个不同的自然表面图像.
使用Portilla-Simoncelli模型生成这些图像的统计合成版本.
收集了人类自然和合成图像的情感评分 (愉快-不愉快).
分析了评分和低级别图像统计数据之间的相关性.

主要成果:

人类观察者为自然和合成的表面图像提供了类似的情感评级.
感知到的表面特性,如光泽度和凸起度,与情感评分有很弱的相关性.
合成的刺激往往会降低感知到的表面特性.
情感评级与特定的低级图像统计相关,包括在某些空间频率上的功率和交叉方向能量相关性.

结论:

低级图像统计在对自然表面和纹理的情感反应中起着至关重要的作用.
对自然纹理的审美判断主要取决于统计图像属性,而不是明确的表面特征.
图像合成模型可以复制情感反应,强调统计规律的重要性.

关键词:

情绪情绪情绪情绪图像统计图像统计自然表面自然表面的表面质地质地质地

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