通过边缘方向的分布来描述绘画的动态性
Adrien Deliege1, Maria Giulia Dondero1,2, Enzo D'Armenio1,2
1Department of Romance Languages and Literatures, Faculty of Philosophy and Letters, University of Liège, 4000 Liège, Belgium.
Journal of imaging
|November 26, 2024
概括
这项研究引入了一种新的计算方法,使用边缘检测量绘画中的动力. 这种方法为艺术史提供了新的见解,分析视觉文化和艺术演变.
科学领域:
- 计算式艺术史 艺术史
- 数字人文学科 数字人文学科
- 计算机视觉 计算机视觉
背景情况:
- 数字化艺术品为艺术史提供了新的计算方法.
- 对抽象概念的分析,如艺术中的活力,是不发达的.
- 之前关于动态性的研究缺乏定量测量.
研究的目的:
- 提出一种计算方法来量化和比较绘画中的动态性.
- 分析跨艺术风格和艺术家的动态主义的时间演变.
- 为了实现基于动态的艺术作品的可视化,聚类和检索.
主要方法:
- 使用边缘检测技术来分析图像数据.
- 根据边缘分布模式量化绘画动态.
- 应用该方法来研究艺术风格,个人艺术家 (如坎丁斯基) 和大型艺术数据库.
主要成果:
- 证明了边缘检测对于量化视觉动态的有效性.
- 能够研究艺术中的动态的时间演变.
- 使用PixPlot. 简化了抽象绘画的可视化和集群.
结论:
- 边缘检测为量化和可视化艺术活力提供了一个强大的方法.
- 这种计算方法为视觉文化和艺术历史分析提供了新的见解.
- 该方法支持跨艺术家,运动和时间段的比较研究.
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