Schemata. 3D Classification and Categorisation of Ancient Terracotta Figurines

计划。

• 批准号: 421469654
• 负责人: Professor Dr. Ramin Yahyapour
• 金额: --
• 依托单位: Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG)
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/421469654?language=en
• 关键词: Schemata.; 3D; Classification; Categorisation; Ancient

The goal of the proposed case-study is not only to develop procedures for automatically generating corpora using 3D pattern recognition, but also to reflect on the associated schematisations and how they can be applied in computer science and visual sciences.Based on 200 terracottas of the late 4th and 3rd centuries BC, which are quite similar to each other, a classification system will be elaborated with digital methods, which is able to meet the complexity of the artefacts. For this purpose, methods of object-mining in 3D data are to be developed, which support the search for a suitable classification and categorisation of the images. In close cooperation between computer science and archaeology, this experimental process leads to a fundamental examination of the concept of pattern recognition as a humanities category.The discussion of the various concepts and methods will be carried out in two complementary dissertations on “Classifications and Categorisations with Digital Methods. Consistency and Variation in the Shapes of Hellenistic Terracottas of Women,” and “3D Shape Analysis of Ancient Terracottas: Contributions to Automated Object Mining”.

所提出的案例研究的目标不仅是开发使用 3D 模式识别自动生成语料库的程序，而且还反思相关的架构以及如何将它们应用于计算机科学和视觉科学。基于 200 个兵马俑公元前4世纪末和公元前3世纪非常相似，将用数字方法详细阐述分类系统，这能够满足文物的复杂性。为了实现这一目的，我们将开发 3D 数据中的对象挖掘方法，以支持对图像进行合适的分类和分类。在计算机科学和考古学之间的密切合作下，这一实验过程将对 3D 数据的概念进行基本检查。各种概念和方法的讨论将在两篇补充论文中进行，题为“用数字方法进行分类和分类”。女性”和“古代兵马俑的 3D 形状分析：对自动对象挖掘的贡献”。