Unlocking the Urban Photographic Record Through 4D Scene Understanding and Modeling

通过 4D 场景理解和建模解锁城市摄影记录

• 批准号: 0534330
• 负责人: Frank Dellaert
• 金额: --
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0534330&HistoricalAwards=false
• 关键词: Unlocking; Urban; Photographic; Record; Through

There is a growing need for novel ways to access the exponentially growing archives of historical imagery. It is imperative to go beyond cataloging, indexing, and keyword driven databases, to a paradigm where the computer at least partially understands the content of images. Pushing the state of the art in scene understanding and 3D modeling will enable radical new ways to view and experience historical and/or temporally varying imagery. This research aims at building time-varying 3D models that can serve to pull together large collections of images pertaining to the appearance, evolution, and events surrounding one place or artifact over time, as exemplified by the "4D City" project: the completely automatic construction of a 4D database showing the evolution over time of a single city.In terms of intellectual merits, the project will advance the state of the art in (1) single-view image interpretation for matching scene structure across space and time; (2) model-based, probabilistic inference and stochastic grammars to encode high-level prior knowledge; and (3) introducing time as an additional object of inference.The project is expected to broadly impact society in the areas of urban planning, historical education, research, and preservation. In addition, the newly developed algorithms can be applied in other application areas such as forensics and intelligence gathering. Finally, the planned dissemination efforts will center on an instantiation of the 4D City project in Atlanta, and will touch many through web-based delivery and a kiosk installation in the Atlanta History Center. http://4d-cities.cc.gatech.edu

人们越来越需要新的方式来访问呈指数级增长的历史图像档案。当务之急是超越编目、索引和关键字驱动的数据库，转向计算机至少部分理解图像内容的范例。推动场景理解和3D建模的最新技术将使人们能够以激进的新方式查看和体验历史和/或时间变化的图像。这项研究的目的是建立时变的3D模型，它可以用来收集与一个地方或人工制品随时间的外观、演变和周围事件有关的大量图像集合，如“4D城市”项目：完全自动地构建一个显示单个城市随时间演变的4D数据库。在智力方面，该项目将在以下方面推进最先进的技术：(1)用于匹配空间和时间的场景结构的单视图像解释；(2)基于模型的、概率推理和随机语法，以编码高级先验知识；以及(3)引入时间作为额外的推理对象。该项目预计将在城市规划、历史教育、研究和保护等领域对社会产生广泛影响。此外，新开发的算法还可以应用于其他应用领域，如取证和情报收集。最后，计划中的传播工作将集中在亚特兰大4D City项目的实例化上，并将通过基于网络的交付和在亚特兰大历史中心安装信息亭来接触许多人。Http://4d-cities.cc.gatech.edu