SGER: A Domain-Model Approach to Reconstruction of 3-D Environments for Virtual Reality

SGER：重建虚拟现实 3D 环境的领域模型方法

• 批准号: 9520434
• 负责人: Linda Shapiro
• 金额: $ 5万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-08-15 至 1997-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9520434&HistoricalAwards=false
• 关键词: SGER; Domain; Model; Approach; Reconstruction

IRI-9520434 Shapiro, Linda G. University of Washington $50,000 - 12 mos. SGER: A Domain-Model Approach to Reconstruction of 3D Environments for Virtual Reality This award is in the Small Grants for Exploratory Research mode. Reconstruction of 3D environments from sensed data is a computer vision problem with important application to the area of virtual reality and other visual information systems. The relatively new research area of virtual reality requires 3D models of entire environments, and presents several significant new challenges for computer vision, including the ability to deal with multiple moving objects in the scene, integration of information about color and textures, and the need for close attention to domain constraints, to improve the reconstruction of a 3-D model of the environment. The new approach in this research is to use domain knowledge to simplify and improve the 3D environment-acquisition process. This approach is knowledge-driven and attempts to understand the physical structure of the environment and of the individual objects in the environment. This award supports preliminary research to explore the feasibility of development of physical domain models that define the physical constraints of a particular domain. Such models might include information about possible 3D surface classes, possible materials, surface relationships, common 3D primitive solids, functional relationships among the 3D primitives, and fixed or constrained lighting.

夏皮罗，琳达G. 华盛顿大学$50，000 - 12个月。 SGER：一种面向虚拟现实的三维环境重建领域模型方法 该奖项是在探索性研究模式的小额赠款。 从感知数据重建三维环境是计算机视觉领域的一个重要问题，在虚拟现实和其他视觉信息系统中有着重要的应用。虚拟现实的相对较新的研究领域需要整个环境的3D模型，并提出了几个重要的新的挑战，计算机视觉，包括处理场景中的多个移动对象的能力，有关颜色和纹理的信息的集成，并需要密切关注域约束，以改善重建的3D模型的环境。 本研究的新方法是利用领域知识来简化和改进三维环境获取过程。这种方法是知识驱动的，并试图理解环境的物理结构和环境中的各个对象。 该奖项支持初步研究，以探索开发定义特定领域物理约束的物理领域模型的可行性。这样的模型可能包括关于可能的3D表面类、可能的材料、表面关系、常见的3D图元实体、3D图元之间的功能关系以及固定或受约束的照明的信息。