The Digital Compilation and Restoration of Herculaneum Fragment P.Herc.118

Christy Chapman, C. S. Parker, Ali Bertelsman, Kristina Gessel, H. Hatch, K. Seevers, James H. Brusuelas, Stephen Parsons, W. Seales
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引用次数: 1

Abstract

Abstract:Ancient documents pose many challenges for the scholars who painstakingly study and elucidate them. Natural deterioration occurs over time, erasing words and sentences that were once apparent. Water and fire damage can render text completely unreadable. Wrinkles and folds obscure content essential to meaning. Thankfully, old and new imaging methods can today be combined to rescue “lost” text and make it once again accessible to scholars.Using computer vision techniques like registration, historical images that often represent the most faithful record of the original content of a document can now be combined with those produced by newer technologies, like spectral imaging and 3D modeling. The result is a diachronic digital compilation that enables new scholarly discoveries. Using the collection of fragments from an opened ancient scroll from Herculaneum, PHerc.118, the work outlined in this paper prototypes a process that capitalizes on the best of old and new images to create a single, definitive digital model for scholarly study.
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《赫库兰尼姆碎片的数字编辑与修复》[j]
摘要:古代文献对学者们的研究和阐释提出了许多挑战。随着时间的推移,自然退化会发生,曾经明显的单词和句子会被擦掉。水和火的伤害可以使文本完全无法阅读。皱纹和褶皱模糊了对意义至关重要的内容。值得庆幸的是,新旧成像方法今天可以结合起来拯救“丢失”的文本,并使其再次为学者所接受。使用配准等计算机视觉技术,通常代表文件原始内容最忠实记录的历史图像现在可以与光谱成像和3D建模等新技术产生的图像相结合。其结果是一个历时的数字汇编,使新的学术发现成为可能。利用从赫库兰尼姆打开的古卷轴上收集的碎片,赫库兰尼姆。本文概述的工作原型化了一个过程,利用最好的新旧图像来创建一个单一的、确定的学术研究数字模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.30
自引率
0.00%
发文量
16
期刊最新文献
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