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艺术绘画中的数字文化遗产保护:一种基于笔触表面粗糙度的方法。

Digital Cultural Heritage Preservation in Art Painting: A Surface Roughness Approach to the Brush Strokes.

作者信息

Mironova Anna, Robache Frederic, Deltombe Raphael, Guibert Robin, Nys Ludovic, Bigerelle Maxence

机构信息

CNRS UMR 8201-LAMIH-Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines, University Polytechnique Hauts-de-France, F-59313 Valenciennes, France.

CRISS-Laboratoire "Centre de Recherche Interdisciplinaire en Sciences de la Société", Bâtiment des Tertiales, University Polytechnique Hauts-de-France, Rue des Cent Têtes, F-59300 Valenciennes, France.

出版信息

Sensors (Basel). 2020 Nov 3;20(21):6269. doi: 10.3390/s20216269.

DOI:10.3390/s20216269
PMID:33153178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7663586/
Abstract

There is a growing interest in cultural heritage preservation. The notion of HyperHeritage highlights the creation of new means of communication for the perception and data processing in cultural heritage. This article presents the Digital Surface HyperHeritage approach, an academic project to identify the topography of art painting surfaces at the scale at which the elementary information of sensorial rendering is contained. High-resolution roughness and imaging measurement tools are then required. The high-resolution digital model of painted surfaces provides a solid foundation for artwork-related information and is a source of many potential opportunities in the fields of identification, conservation, and restoration. It can facilitate the determination of the operations used by the artist in the creative process and allow art historians to define, for instance, the meaning, provenance, or authorship of a masterpiece. The Digital Surface HyperHeritage approach also includes the development of a database for archiving and sharing the topographic signature of a painting.

摘要

人们对文化遗产保护的兴趣与日俱增。“超级遗产”概念强调为文化遗产的感知和数据处理创造新的交流方式。本文介绍了数字表面超级遗产方法,这是一个学术项目,旨在识别艺术绘画表面的地形,其尺度包含感官呈现的基本信息。因此需要高分辨率粗糙度和成像测量工具。绘画表面的高分辨率数字模型为与艺术品相关的信息提供了坚实基础,并且是鉴定、保护和修复领域许多潜在机会的来源。它可以促进确定艺术家在创作过程中使用的操作,并使艺术史学家能够定义,例如,一件杰作的含义、出处或作者身份。数字表面超级遗产方法还包括开发一个数据库,用于存档和共享一幅绘画的地形特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/7663586/74877c599fea/sensors-20-06269-g015.jpg
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