Mathematical data analysis methods for cultural heritage

文化遗产的数学数据分析方法

• 批准号: 2746952
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2746952
• 关键词: Mathematical; data; analysis; methods; cultural

The digital processing, analysis and archiving of databases and collections in the arts and humanities is becoming increasingly important. This is because of a myriad of possibilities that digitisation opens up that go well beyond the organisation and manipulation of the actual physical objects, allowing, for instance, the creation of digital databases that are searchable with respect to several parameters (keywords), the digital processing and analysis of objects that are non-destructive to the original object, and the application of automated algorithms for sorting newly found objects into existing digital databases by classifying them into pre-defined groups in the database. These possibilities go hand-in-hand with ever-growing advances in data science that are developing mathematical methodology for analysing and processing digital data.In this PhD project Wallace will develop mathematical data analysis solutions for a selection of challenging asks in cultural heritage, including the digital analysis and restoration of paintings, frescoes and illuminated manuscripts, and the automated organisation and analysis of cultural heritage objects such as cross-sections of paint and historical paper.

艺术和人文学科的数据库和馆藏的数字化处理、分析和存档变得越来越重要。这是因为数字化带来了无数的可能性，远远超出了对实际物理对象的组织和操纵，例如，允许创建可根据几个参数（关键字）进行搜索的数字数据库，对原始对象进行非破坏性的对象的数字处理和分析，并应用自动算法将新发现的对象分类到现有的数字数据库中，将它们分类到数据库中的预定义组中。这些可能性与数据科学不断发展的进步密切相关，数据科学正在开发用于分析和处理数字数据的数学方法。在这个博士项目中，华莱士将为一系列具有挑战性的文化遗产问题开发数学数据分析解决方案，包括对绘画、壁画和彩绘手稿的数字分析和修复，以及对文化遗产物品（如油漆和历史纸张的横截面）的自动组织和分析。