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Digital cultural heritage preservation in art painting: a surface roughness approach of the Brush Strokes

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. Studies in the frame of this PhD thesis represent a step towards developing methodologies to help identify the topography of art painting surfaces at the scale where 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 its creative process and allow art historians to define, for instance, the meaning, provenance or authorship of a masterpiece. This approach, named Digital Surface HyperHeritage ,also includes the development of a database for archiving and sharing the topographic signature of a painting.
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https://hal-uphf.archives-ouvertes.fr/tel-03376901
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Submitted on : Wednesday, October 13, 2021 - 6:00:03 PM
Last modification on : Tuesday, October 19, 2021 - 4:58:32 PM

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  • HAL Id : tel-03376901, version 1

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Anna Mironova. Digital cultural heritage preservation in art painting: a surface roughness approach of the Brush Strokes. Engineering Sciences [physics]. Université Polytechnique Hauts-de-France; Institut national des sciences appliquées Hauts-de-France, 2021. English. ⟨NNT : 2021UPHF0006⟩. ⟨tel-03376901⟩

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