Semi-automatic generation of highly detailed textured building models

该项目的目标是开发模型、方法和工具，用于半自动、交互式地改进3D城市模型。从模型的细节水平2 (LOD 2)，包括简单的细节建筑模型与地面边缘，楼梯，阳台，窗户，门，和纹理。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。主要组件是一个三维空间数据库，它集成了矢量建筑模型和空中和地面光栅图像。精心设计的用户界面支持图像解释中的歧义的交互式解决方案。对于几何和纹理的整合，将开发一个评估函数，以平衡模型和图像之间关于视觉合理性的不可分割的冲突。该方法的新颖之处在于：(1)高分辨率对象模型的规范，该模型可以处理高分辨率图像数据与3D GIS中设想的细节水平之间的内在不一致性，以及(2)从粗糙的地理参考可能未校准的图像中重建实例化对象模型，并根据模型规范进行概括。在前两年，我们开发了集成矢量和栅格数据的3D目标模型，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，以实现建筑项圈背景下一致且视觉上可信的目标描述。我们限制场景与低程度的遮挡。在过去的一年里，我们提高了解释过程的效率，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.