Computer analysis of Van Gogh's complementary colours
Computer analysis of Van Gogh's complementary colours
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DOI：
10.1016/j.patrec.2006.08.002
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发表时间：
2007-04-15
影响因子：
5.1
通讯作者：
van den Herik, Jaap
中科院分区：
文献类型：
--
作者：
Berezhnoy, Igor;Postma, Eric;van den Herik, Jaap
传统上，对视觉艺术的分析仅由人类艺术专家执行。先进的人工智能技术的可用性，使人们有可能支持艺术专家在他们的判断视觉艺术。在这篇文章中，目前可用的图像分析技术的应用。我们的目的是（1）确定互补色的使用在文森特货车高的全部作品中有多成功，以及（2）这种特征是否可以使他的绘画在时间上被识别。人们普遍认为，尤其是在他的法国时期，货车高开始使用互补色来强调物体或场景部分的轮廓。本文提出了一种新的方法称为MECOCO 1来衡量补色使用在绘画中结合所有的颜色空间表示和Gabor滤波。为了实现这一目标，（1）我们定义了一种新的测量方法，称为互补值，它量化了绘画中互补色过渡的使用;（2）我们研究了货车高的绘画风格。MECOCO对145幅数字化和色彩校准的布面油画数据集的分析证实了艺术专家普遍承认的货车高画作中互补色的全球过渡模式。此外，MECOCO还提供了一个客观和量化的方式来支持个人绘画中的色彩分析。(c)2006 Elsevier B. V.保留所有权利。
Traditionally, the analysis of visual arts is performed by human art experts only. The availability of advanced artificial intelligence techniques makes it possible to support art experts in their judgement of visual art. In this article currently available image-analysis techniques are applied. Our aim is (1) to determine how successful the usage of complementary colours was in the oeuvre of Vincent Van Gogh and (2) whether this characteristic may make his paintings identifiable in time. It is commonly acknowledged that, especially in his French period, Van Gogh started employing complementary colours to emphasize contours of objects or parts of scenes. This article proposes a new method called MECOCO1 to measure complementary-colour usage in a painting by combining ail opponent-colour space representation with Gabor filtering. To achieve the aim, (1) we defined a novel measure called the opponency value that quantifies the usage of complementary-colour transitions in a painting and (2) we studied Van Gogh's painting style. MECOCO's analysis of a dataset of 145 digitised and colour-calibrated oil-on-canvas paintings confirms the global transition pattern of complementary colours in Van Gogh's paintings as generally acknowledged by art experts. In addition, MECOCO also provides an objective and quantifiable way to support the allalysis of colours in individual paintings. (c) 2006 Elsevier B.V. All rights reserved.