Semi-automatic generation of highly detailed textured building models

该项目的目的是开发用于半自动、交互式细化3D城市模型的模型、方法和工具。从详细等级2(LOD 2)的模型开始，由带有地面边缘、楼梯、阳台、窗、门和纹理的简单详细的建筑模型组成。重点关注建筑立面和数字立面模型之间的过渡，即所谓的建筑领子。主要组成部分是一个3D空间数据库，其中集成了矢量建筑模型以及航空和地面栅格图像。精心设计的用户界面支持交互式解决图像解释中的歧义。对于几何和纹理的集成，将开发一个评估函数，该函数在视觉真实性方面平衡了模型和图像之间难以解决的冲突。该方法的新颖性在于(1)高分辨率目标模型的规范，该高分辨率目标模型处理高分辨率图像数据与3D地理信息系统中关于可信可视化的设想细节级别之间的内在不一致，以及(2)根据模型规范从粗略的地理参考的可能未校准的图像重建实例化的目标模型及其泛化。在前两年，我们开发了集成矢量和栅格数据的3D对象模型，并演示了数字高程模型数据、3D建筑数据和图像数据的融合，以实现在建筑环状背景下一致和视觉上可信的对象描述。我们仅限于遮挡程度较低的场景。在过去的一年里，我们提高了口译过程的效率，增加了处理场景的复杂性，特别是在遮挡方面。

The aim of the project is to develop of models, methods, and tools for the semi-automatic, interactive refinement of 3D city models. Starting from models of level of detail 2 (LOD 2), consisting of simple detailed building models with ground edges, stairs, balconies, windows, doors, and textures. Focus ison the transition between building facades and the digital elevation model, the so called building collar. The main component is a 3D spatial database which integrates vector building models and aerial and terrestrial raster images. A carefully designed user interface supports the interactive resolution ofambiguities in the interpretation of the images. For the integration of geometry and texture an evaluation function will be developed which balances the inextricable conflict between model and image with respect to visual plausibility. The novelty of the approach is (1) the specification of highresolution object models which cope with the inherent inconsistencies between the high resolution image data and the envisaged level of detail in a 3D GIS with respect to a plausible visualisation, and (2) the reconstruction of the instantiated object model from crudely geo-referenced possibly uncalibrated images and its generalization according to the model specification. In the first two years we develop the 3D object model integrating vector and raster data, and demonstrate the fusion ofdigital elevation model data, 3D building data and image data for achieving a consistent and visually plausible object description in the context of building collars. We restrict to scenes with a low degree of occlusion. In the last year we increase efficiency of the interpretation process and increase the complexity of the tackled scenes, especially with respect to occlusions.