艺术家用复杂自然场景的傅立叶统计来描绘人脸。

Network (Bristol, England) Pub Date : 2007-09-01 Epub Date: 2007-08-28 DOI:10.1080/09548980701574496
Christoph Redies, Jan Hänisch, Marko Blickhan, Joachim Denzler
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引用次数: 58

摘要

当艺术家描绘人脸时,他们通常赋予他们的肖像一些属性,使面部在美学上更讨人喜欢。为了深入了解艺术家带来的变化,我们比较了面部照片和艺术家肖像中的傅里叶功率谱。我们的分析仅限于来自不同西方文化的大量单色或浅色肖像,并揭示了一个矛盾的结果。虽然人脸照片不是比例不变的,但艺术家绘制的人脸具有与人脸照片不同的统计属性,近似于复杂自然场景的比例不变的分形属性。这一结果不能用面部周围图案复杂性的系统差异或复制人工制品来解释。特别是,伽马渐变的适度变化对结果的影响很小。此外,研究发现,艺术家肖像中脸部的比例不变渲染与文化变量无关,例如原产世纪或艺术技巧。我们认为艺术家有图像统计的隐性知识,在他们的创作中更喜欢自然场景统计(或与之相关的一些其他规则)。类似分形的统计已经在其他形式的视觉艺术中被证明,并且可能是审美视觉刺激的一般属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artists portray human faces with the Fourier statistics of complex natural scenes.

When artists portray human faces, they generally endow their portraits with properties that render the faces esthetically more pleasing. To obtain insight into the changes introduced by artists, we compared Fourier power spectra in photographs of faces and in portraits by artists. Our analysis was restricted to a large set of monochrome or lightly colored portraits from various Western cultures and revealed a paradoxical result. Although face photographs are not scale-invariant, artists draw human faces with statistical properties that deviate from the face photographs and approximate the scale-invariant, fractal-like properties of complex natural scenes. This result cannot be explained by systematic differences in the complexity of patterns surrounding the faces or by reproduction artifacts. In particular, a moderate change in gamma gradation has little influence on the results. Moreover, the scale-invariant rendering of faces in artists' portraits was found to be independent of cultural variables, such as century of origin or artistic techniques. We suggest that artists have implicit knowledge of image statistics and prefer natural scene statistics (or some other rules associated with them) in their creations. Fractal-like statistics have been demonstrated previously in other forms of visual art and may be a general attribute of esthetic visual stimuli.

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