Automatic 3D-reconstruction of buildings using highly resolving video sequences

我们提出了一个完全自动化的原型系统，完善城市三维GIS的建筑模型，使用地面图像数据。数字视频序列包含一个高潜力的摄影测量应用，目前还没有完全使用。投影几何提供了一个有效的数学框架，以获得几何精确的信息，从部分校准的相机与变化的参数。目前，它正在与对象重建方法相结合，以提高其自动化性能。主要新奇是空间和时间图像匹配以及几何和反射信息的密集集成。摄影测量模型部分地从三焦点相机系统的相邻图像重建，部分地从视频序列的前一个和后一个图像重建。观察到的建筑物由平面、多面体和自由形成的表面组成。我们使用通用模型的表面组件与特定的场景约束一起提取，对齐和分类的多边形基元。此外，知识驱动的对象提取被用来支持图像定位，并可能取代控制信息。该方法是专为离线处理记录的数字视频，因为处理手持无标记视频流的计算要求超过了今天的实时系统的能力。我们希望开发一个数学上均匀的框架，它包括摄影测量模型生成，时间跟踪，以及目标提取和分类的反射分析。从几个三焦点视图的这种系统模型生成给予数字视频系统其全部潜力。

We propose a fully automated prototype system to refine building models of an urban 3D GIS using terrestrial image data. Digital video sequences contain a high potential for such photogrammetric applications which is presently not fully used. Projective geometry provides an effective mathematical framework to obtain geometrically precise information from partially calibrated cameras with varying parameters. Presently, it is being combined with object reconstruction methods improving its performance in automation. The main novelty is an intensive Integration of spatial and temporal image matching as weil as geometric and reflectance information. The photogrammetric model is partially reconstructed from the neighboring images of a trifocal camera system, partially from the preceding and following images of the video sequence. The observed buildings consist of planes, polyhedrons and freely formed surfaces. We use generic models of surface assemblies together with particular scene constraints to extract, align and classify the polygonal primitives. Additionally, the knowledge-driven object extraction is used to support the Image orientation and probably to replace control information. The approach is designed for off-line processing of recorded digital video, because the computational requirements to deal with hand-held markerless video streams exceed the capabilities of today real-time systems. We want to develop a mathematically homogeneous framework which incorporates photogrammetric model generation, temporal tracking, and reflectance analysis as weil as object extraction and classification. Such systematic model generation from several trifocal views gives a digital video system its full potential.