一种大规模倾斜摄影模型三维可视化方案

提出了一种基于四叉树结构的大规模倾斜摄影模型三维可视化方案:首先采用二次误差测度(QEM)的半边折叠算法对三角网格模型进行分层几何简化;然后对分层简化的模型进行纹理映射和分块,分块结果采用Morton编码命名;最后将场景按金字塔结构进行LOD(多细节层次结构)组织。选取某一试验区域的真实倾斜模型数据进行了试验,结果表明,该方案能依据模型在计算机屏幕上所占的像素大小,动态加载倾斜模型数据,完成大规模场景的实时可视化。

A Visualization Plan for Large-scale 3D Models with Oblique Photogrammetry Technology

A three-dimensional visualization scheme for large-scale oblique photography model based on quad-tree structure is proposed.Firstly,the triangular mesh model is simplified by using half-edge collapse of quadratic error measure (QEM),and then these hierarchical simplified models are textured and blocked,each block is named using Morton encoding rule.Finally,the scene is organized according to the pyramid structure of LOD (multi-level hierarchical structure).We evaluated our visualization plan for largescale 3D models with oblique photogrammetry technology on a dataset of a city.Experiment results show that the method can dynamically load the appropriate models according to the pixel size on the screen.It is demonstrated that the schema is effective and useful for realtime visualization of large-scale 3D models with oblique photogrammetry technology.