Automatic Shape Feature Recognition for Ceramic Finds
Automatic Shape Feature Recognition for Ceramic Finds
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DOI：
10.1145/3386730
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发表时间：
2020-10-01
影响因子：
2.4
通讯作者：
Pane, Caterina
中科院分区：
文献类型：
--
作者：
Di Angelo, Luca;Di Stefano, Paolo;Pane, Caterina
陶瓷碎片是考古学中最常见的发现。它们分析起来很复杂，处理起来也很繁琐。挖掘过程中产生的大量不明确的碎片必须初步分为几类。这种聚类有助于下一阶段，即考古学家对陶瓷进行分类。由于这些初步、重复和常规阶段的困难，博物馆储存库或考古遗址中的大量考古材料仍未得到研究。本文介绍了一种自动执行这些例行阶段的有效方法。所提出的方法对陶片进行形状特征分割，这是进行任何进一步分析的基础，例如陶片分类、重建或编目。定义了一组有助于理解查找属性的特定形状特征，并提出了识别它们的方法。通过对一些真实的关键案例的分析来测试该方法的性能。
Ceramic sherds are the most common finds in archaeology. They are complex to analyze and onerous to process. A large number of indistinct sherds coming from excavations must be preliminarily grouped in some categories. This clusterization helps the next phase, in which archaeologists classify the ceramics. Due to the difficulty of these preliminary, repetitive, and routine phases, a great deal of archaeological material remains unstudied in museum repositories or archaeological sites. An effective method to automate these routine phases is presented in this article. The proposed method performs a shape feature segmentation of the sherds, which is fundamental to undertake any further analysis, such as potsherds classification, reconstruction, or cataloging. A set of specific shape features, useful to understand the find properties, is defined and methods for recognizing them are proposed. The method's performance is tested in the analysis of some real, critical cases.