首页> 外文会议>International Congress on Digital Heritage >3DHOG for Geometric Similarity Measurement and Retrieval for Digital Cultural Heritage Archives
【24h】

3DHOG for Geometric Similarity Measurement and Retrieval for Digital Cultural Heritage Archives

机译:3底几何相似性测量和数字文化遗产档案的检索

获取原文

摘要

With projects such as CultLab3D, 3D Digital preservation of cultural heritage will become more affordable and with this, the number of 3D-models representing scanned artefacts will dramatically increase. However, once mass digitization is possible, the subsequent bottleneck to overcome is the annotation of cultural heritage artefacts with provenance data. Current annotation tools are mostly based on textual input, eventually being able to link an artefact to documents, pictures, videos and only some tools already support 3D models. Therefore, we envisage the need to aid curators by allowing for fast, web-based, semi-automatic, 3D-centered annotation of artefacts with metadata. In this paper we give an overview of various technologies we are currently developing to address this issue. On one hand we want to store 3D models with similarity descriptors which are applicable independently of different 3D model quality levels of the same artefact. The goal is to retrieve and suggest to the curator metadata of already annotated similar artefacts for a new artefact to be annotated, so he can eventually reuse and adapt it to the current case. In addition we describe our web-based, 3D-centered annotation tool with meta- and object repositories supporting various databases and ontologies such as CIDOC-CRM.
机译:通过诸如Cultlab3D等项目,3D数字保存文化遗产将变得更加实惠,而且,代表扫描人工制品的3D模型的数量将大大增加。然而,一旦群式数字化就是可能的,克服的后续瓶颈就是具有出处数据的文化遗产的诠释。当前的注释工具主要基于文本输入,最终能够将文物链接到文档,图片,视频,只有一些工具已经支持3D模型。因此,我们设想通过允许快速,基于Web的半自动,3D中心的3D以与元数据的人工制品为辅助策展人来帮助策展人。在本文中,我们概述了我们目前正在开发的各种技术来解决这个问题。一方面,我们想要存储具有相似性描述符的3D模型,这些型号可独立于相同艺术品的不同3D模型质量水平适用。目标是检索和建议已经注释的新人工制品的已经注释的类似人工制品的策展程序元数据,因此他最终可以重用并使它调整到当前情况。此外,我们描述了我们的基于Web的3D居中注释工具,其中包含支持各种数据库和本体的元素和对象存储库,如CIDoC-CRM。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号