数码城市的街道立面自动三维重建

Auto-reconstructing 3D street elevation for cyber city

如何快速实现街道景观的三维可视化对于城市三维建模而言具有重大意义.针对以往立面三维重建依赖于矢量图或者空间三维点云辅助并且自动化程度不高等问题,提出通过直线匹配、基于灭点解算方位元素、大倾角影像自动纠正、拼接、立面凹凸边界自动识别的自动三维重建方法,本重建方法以线、面特征为基元且不依赖于矢量图或者空间三维点云辅助.通过实验验证了本方法重建出的三维模型正确、简洁、高效,应可满足数码城市中三维街景快速可视化的需要.

How to rapidly realize 3D visualization of street landscape is very significant for cyber city＇s 3D modeling. Aiming at some problems in 3D reconstruction on street elevation, such as depending on vectogram or space 3D point cloud and low automatization, a high feasible and high automatic approach to auto- reconstruct 3D street elevation is put forward based on line matching, solving orientation elements by vanishing point, auto-rectifying and auto-mosaiking large angle of obliquity close-range sequential images, au-to-recognizing concavo-eonvex edge of street elevation. And this approach of reconstruction bases on the feature of line, plane; furthermore, it is not dependent on assistant of vectogram or space 3D point cloud. Experimental results prove that reconstructed 3D modeling is correct, compact and effective by our method, which should be able to meet the need of rapidly visualizing 3D street landscape for cyber city.