Schemata. 3D Classification and Categorisation of Ancient Terracotta Figurines

本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，而且还反映了相关的示意图以及它们如何在计算机科学和视觉科学中应用。以公元前4世纪末至公元前3世纪的200件非常相似的兵马俑为基础，用数字方法阐述一个能够满足文物复杂性的分类系统。为此目的，将开发3D数据中的对象挖掘方法，以支持对图像进行适当分类和分类的搜索。在计算机科学和考古学的密切合作下，这一实验过程导致了对模式识别概念作为人文学科范畴的基本检查。各种概念和方法的讨论将在两篇关于“用数字方法分类和分类”的互补论文中进行。希腊女性兵马俑形状的一致性和变化”和“古代兵马俑的三维形状分析：对自动化对象挖掘的贡献”。

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”.