EAGER: Combining Sketching and Computer Vision Techniques in Cultural Heritage Applications

EAGER：在文化遗产应用中结合素描和计算机视觉技术

• 批准号: 0949911
• 负责人: Holly Rushmeier
• 金额: $ 10万
• 依托单位: Yale University
• 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: 2009-09-01 至 2011-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0949911&HistoricalAwards=false
• 关键词: EAGER; Combining; Sketching; Computer; Vision

Computer graphics has been successfully used in a wide range of cultural heritage applications.It has been proven both in the context of study by subject specialists and in the preparation of exhibits for education of the general public. Each year hundreds more computer graphics based cultural heritage projects are initiated around he world. However, the use of digital material remains demanding and requires technologists as well as subject specialists. This research project will impact the development of exhibitions used to communicate historical and cultural information to the general public. Preparing such exhibits will be easier for subject specialists, and it will be possible to create more engaging interactive displays of informationThe goal of this research is to change the methods for both authoring and using digital objects in communication. The research addresses the problem of generating compelling 3D displays of heritage sites, where large archival photographic documentation is available. Recent innovations in sketch-based modeling, in particular the ?Mental Canvas? framework that relies only on 3D strokes rather than full solids, will be exploited along with computer vision techniques. The Mental Canvas framework will allow user annotation in order to facilitate the application of recent improvements in image feature detection and bundle estimation to compute 3D points from archival images. Annotation is required since current methods often fail when all camera characteristics are unknown and photographs were not taken from views designed to facilitate 3D reconstruction. The output of the proposed system will be a 3D model that can be easily navigated by a casual user. The system will then be able to naturally navigate through space and browse solid models, archival imagery and textual data. An exhibit of artifacts and imagery from the Dura Europos site that is being prepared by the Yale Art Gallery is serving as the testbed for the research.

计算机图形学已成功地用于广泛的文化遗产应用中。在学科专家和准备公众教育的展览中，它在研究的背景下已经证明了这一点。每年，围绕他的世界启动了数百个基于计算机图形的文化遗产项目。但是，数字材料的使用仍然要求，需要技术人员和学科专家。该研究项目将影响用于向公众传达历史和文化信息的展览的发展。对于主题专家来说，准备此类展览将更容易，并且有可能创建更多引人入胜的互动信息，这本研究的目的是改变授权和使用数字对象的通信中的方法。该研究解决了生成引人注目的3D显示器的问题，该遗产地点有大量的档案摄影文档。基于草图的建模的最新创新，特别是“心理帆布”？仅依靠3D笔触而不是完整固体的框架将与计算机视觉技术一起利用。心理帆布框架将允许用户注释，以促进在图像特征检测和捆绑估算中的最新改进来计算档案图像中的3D点。需要注释，因为当所有摄像机特性都未知并且没有从设计的视图中拍摄以促进3D重建的视图时，当前方法通常会失败。提出的系统的输出将是一个3D模型，可以由休闲用户轻松导航。然后，系统将能够自然浏览空间并浏览固体模型，档案图像和文本数据。耶鲁大学美术馆正在制作的硬脑膜欧洲景点的文物和图像展览正在作为研究的测试床。