Hunting for Paper Moldmates Among Rembrandt's Prints: Chain-line pattern matching
Hunting for Paper Moldmates Among Rembrandt's Prints: Chain-line pattern matching
复制标题
在伦勃朗的版画中寻找纸模伙伴：链线图案匹配
DOI：
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发表时间：
2015
影响因子：
14.9
通讯作者：
S. Haqqi
中科院分区：
文献类型：
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作者：
C. R. Johnson;W. Sethares;M. Ellis;S. Haqqi
早期的造纸业使用筛状模具，纸浆通过这些模具排出。两张纸被称为moldmates，如果他们使用相同的模具。当一个艺术家的大量纸上作品存在时，模友的识别可以帮助建立年表，建议纸张偏好，并表明艺术家的激烈活动时期。伦勃朗就是一个特别好的例子。如今，伦勃朗的版画已有数千幅，对他的版画的研究已经占据了学者们两个多世纪的时间，而对他的印刷论文的研究在这一学术领域占据了突出的地位[1]。本文探讨了通过链线模式匹配进行模具伴侣识别的可行性，并进行了一系列实验，演示了测量的准确性，直线和平行度，并提供了一个经验法则，使用简化模型进行准确的模具伴侣识别所需的链线数量。识别moldmates之间的伦勃朗的版画的问题是作为一对图像/信号处理任务，我们的策略是提供基本的解决方案，这些任务，然后揭示这些解决方案的缺点，希望鼓励未来的工作在信号处理社区。在位于纽约的摩根图书馆和博物馆以及大都会艺术博物馆的支持下，我们提供了高分辨率的数据来促进这一探索。
Early paper manufacturing used sieve-like molds through which paper pulp was drained. Two pieces of paper are called moldmates if they were made using the same mold. When a large body of one artist's work on paper exists, the identification of moldmates can help in establishing chronology, suggest paper preferences, and indicate periods of intense activity of the artist. Rembrandt is an especially good example. With several thousand prints in existence today, the study of Rembrandt's prints has occupied scholars for over two centuries, and the study of his printing papers occupies a prominent place within this scholarship [1]. This article examines the feasibility of moldmate identification via chain-line pattern matching and conducts a series of experiments that demonstrate how accurately the measurements can be made, how straight and parallel the lines may be, and provides a rule of thumb for the number of chain lines required for accurate moldmate identification using a simplified model. The problem of identifying moldmates among Rembrandt's prints is presented as a pair of image/signal processing tasks; our strategy is to provide basic solutions to these tasks and to then reveal the shortcomings of these solutions in the hopes of encouraging future work in the signal processing community. With the support of the Morgan Library & Museum and the Metropolitan Museum of Art, both of which are in New York, we have made high-resolution data available [2] to facilitate this quest.