Quality-driven autonomous 3D reconstruction of large-scale scenes

质量驱动的大规模场景自主 3D 重建

• 批准号: RGPIN-2017-06086
• 负责人: Gong, Minglun
• 金额: $ 1.89万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634335
• 关键词: Quality; driven; autonomous; 3D; reconstruction

Monitors and TVs have been the dominating display devices in the past 30 years. They are only capable of showing 2D contents, which can be easily acquired using today’s digital cameras. As virtual reality (VR) devices gain practicality and popularity, allowing users to view 3D contents from selected viewpoints and directions, an important question is, therefore, how to efficiently and economically capture objects and scenes in 3D.

在过去的30年里，平板电脑和电视一直是占主导地位的显示设备。它们只能显示2D内容，这可以很容易地使用今天的数码相机获得。随着虚拟现实（VR）设备获得实用性和普及性，允许用户从选定的视点和方向观看3D内容，因此，重要的问题是如何有效且经济地捕获3D中的对象和场景。