Predicting beauty: Fractal dimension and visual complexity in art
Predicting beauty: Fractal dimension and visual complexity in art
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DOI：
10.1348/000712610x498958
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发表时间：
2011-02-01
影响因子：
4
通讯作者：
Sawey, M.
中科院分区：
文献类型：
--
作者：
Forsythe, A.;Nadal, M.;Sawey, M.
一段时间以来，视觉复杂性一直被认为是对艺术作品偏好的重要预测指标。这里报告的第一项研究考察了艺术中感知到的视觉复杂性在多大程度上可以通过复杂性的自动测量来成功预测。与之前的研究结果相反，最成功的视觉复杂性预测是Gif压缩。第二项研究考察了分形维数在多大程度上可以解释感知美的判断。在视觉艺术中，分形维数的度量比单独的视觉复杂性的度量更能说明对感知美的判断的差异，特别是对于抽象和自然图像。结果还表明，当色彩从艺术图像中去除时，观察者无法对其美做出有意义的判断。
Visual complexity has been known to be a significant predictor of preference for artistic works for some time. The first study reported here examines the extent to which perceived visual complexity in art can be successfully predicted using automated measures of complexity. Contrary to previous findings the most successful predictor of visual complexity was Gif compression. The second study examined the extent to which fractal dimension could account for judgments of perceived beauty. The fractal dimension measure accounts for more of the variance in judgments of perceived beauty in visual art than measures of visual complexity alone, particularly for abstract and natural images. Results also suggest that when colour is removed from an artistic image observers are unable to make meaningful judgments as to its beauty.