Imaging and Image Analyses Applied to Historical Objects

应用于历史物体的成像和图像分析

• 批准号: 0917833
• 负责人: Peter Bajcsy
• 金额: $ 2.48万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0917833&HistoricalAwards=false
• 关键词: Imaging; Image; Analyses; Applied; Historical

This workshop will explore a range of issues related to new and emerging technologies for advanced research for imaging related to capturing, digitizing and analyzing historical objects. These include historical documents, visual images, and three-dimensional (3D) artifacts, many of which are to be found in widely-scattered collections and having restricted accessibility. By digitizing historical objects, critical attributes are both preserved and at the same time enable studies that are impossible with the traditional approaches. Such studies might have been impossible up to now either because a research question requires study of large quantities of data preserved in collections around the world or because the study wishes to examine details invisible to the human eye, such as the remains of erased texts preserved in palimpsests, miniature scripts on cylinder seals, etc. or patterns that are hard to compare objectively (e.g., patterns of quilt images). A team at the University of Illinois, Urbana-Champaign and the National Center for Supercomputing Applications organize and convene the event in collaboration and with support from the Humanities, Arts, Science, and Technology Advanced Collaboratory (HASTAC).

本次研讨会将探讨一系列与新技术和新兴技术相关的问题，这些技术用于与捕获、数字化和分析历史对象相关的高级成像研究。这些包括历史文献、视觉图像和三维（3D）人工制品，其中许多是在广泛分散的收藏中发现的，并且很难获得。通过对历史对象进行数字化，既保留了关键属性，同时也使传统方法无法进行的研究成为可能。到目前为止，这样的研究可能是不可能的，因为一个研究问题需要研究世界各地保存的大量数据，或者因为研究希望检查肉眼看不见的细节，例如在重写中保存的擦除文本的残留物，圆柱印章上的微型文字等，或难以客观比较的模式（例如，被子图像的模式）。伊利诺伊大学厄巴纳-香槟分校的一个团队和国家超级计算应用中心在人文、艺术、科学和技术高级合作实验室（HASTAC）的支持下，合作组织和召集了这次活动。