As an important technology of digital construction,real 3D models can improve the immersion and realism of virtual reality(VR)scenes.The large amount of data for real 3D scenes requires more effective rendering method...As an important technology of digital construction,real 3D models can improve the immersion and realism of virtual reality(VR)scenes.The large amount of data for real 3D scenes requires more effective rendering methods,but the current rendering optimization methods have some defects and cannot render real 3D scenes in virtual reality.In this study,the location of the viewing frustum is predicted by a Kalman filter,and eye-tracking equipment is used to recognize the region of interest(ROI)in the scene.Finally,the real 3D model of interest in the predicted frustum is rendered first.The experimental results show that the method of this study can predict the frustrum location approximately 200 ms in advance,the prediction accuracy is approximately 87%,the scene rendering efficiency is improved by 8.3%,and the motion sickness is reduced by approximately 54.5%.These studies help promote the use of real 3D models in virtual reality and ROI recognition methods.In future work,we will further improve the prediction accuracy of viewing frustums in virtual reality and the application of eye tracking in virtual geographic scenes.展开更多
房地不动产具备天然的立体特性,在三维空间中对其进行准确刻画是当前城市地上地下综合开发的关键问题,国内外学者已经提出了各类房地不动产数据模型,旨在解决房地不动产的管理与权利空间的三维表达问题。分析国内外学者的研究成果发现,...房地不动产具备天然的立体特性,在三维空间中对其进行准确刻画是当前城市地上地下综合开发的关键问题,国内外学者已经提出了各类房地不动产数据模型,旨在解决房地不动产的管理与权利空间的三维表达问题。分析国内外学者的研究成果发现,国外学者提出的房地不动产数据模型多以地籍为核心展开,不能完全适用于我国的房地不动产管理;而国内学者虽兼顾了地籍和房产,但忽略了建筑实体、建筑空间与产权空间的关系,无法将房地不动产信息与建筑物信息模型(Building Information Modeling,BIM)整合,不利于房地不动产的精细化管理。针对以上问题,本文提出了基于IFC(Industry Foundation Classes)标准扩展的房地一体化三维不动产数据模型,并通过实例验证了该模型在我国房地不动产管理上是可行的。研究结果表明,本文提出的模型正确表达了各类建筑对象和产权对象,既可以支持业务相关的关联关系的查询,也支持GIS常见拓扑关系的查询和表达,该模型除了能表达符合我国体制的房地不动产对象外,还关联了BIM模型中的建筑构件、建筑空间,为城市建设与运维管理提供技术模型支持。展开更多
基金supported by the National Natural Science Foundation of China(grant numbers U2034202,41871289,42171397)the Sichuan Science and Technology Program(grant number 2020JDTD0003).
文摘As an important technology of digital construction,real 3D models can improve the immersion and realism of virtual reality(VR)scenes.The large amount of data for real 3D scenes requires more effective rendering methods,but the current rendering optimization methods have some defects and cannot render real 3D scenes in virtual reality.In this study,the location of the viewing frustum is predicted by a Kalman filter,and eye-tracking equipment is used to recognize the region of interest(ROI)in the scene.Finally,the real 3D model of interest in the predicted frustum is rendered first.The experimental results show that the method of this study can predict the frustrum location approximately 200 ms in advance,the prediction accuracy is approximately 87%,the scene rendering efficiency is improved by 8.3%,and the motion sickness is reduced by approximately 54.5%.These studies help promote the use of real 3D models in virtual reality and ROI recognition methods.In future work,we will further improve the prediction accuracy of viewing frustums in virtual reality and the application of eye tracking in virtual geographic scenes.
文摘房地不动产具备天然的立体特性,在三维空间中对其进行准确刻画是当前城市地上地下综合开发的关键问题,国内外学者已经提出了各类房地不动产数据模型,旨在解决房地不动产的管理与权利空间的三维表达问题。分析国内外学者的研究成果发现,国外学者提出的房地不动产数据模型多以地籍为核心展开,不能完全适用于我国的房地不动产管理;而国内学者虽兼顾了地籍和房产,但忽略了建筑实体、建筑空间与产权空间的关系,无法将房地不动产信息与建筑物信息模型(Building Information Modeling,BIM)整合,不利于房地不动产的精细化管理。针对以上问题,本文提出了基于IFC(Industry Foundation Classes)标准扩展的房地一体化三维不动产数据模型,并通过实例验证了该模型在我国房地不动产管理上是可行的。研究结果表明,本文提出的模型正确表达了各类建筑对象和产权对象,既可以支持业务相关的关联关系的查询,也支持GIS常见拓扑关系的查询和表达,该模型除了能表达符合我国体制的房地不动产对象外,还关联了BIM模型中的建筑构件、建筑空间,为城市建设与运维管理提供技术模型支持。
