Semi-automatic generation of highly detailed textured building models

半自动生成高度详细的纹理建筑模型

• 批准号: 5457183
• 负责人: Professor Dr.-Ing. Wolfgang Förstner
• 金额: --
• 依托单位: Lehrstuhl für Geoinformation
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2005
• 资助国家: 德国
• 起止时间: 2004-12-31 至 2008-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5457183?language=en
• 关键词: Semi; automatic; generation; highly; detailed

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.

该项目的目的是开发3D城市模型的半自动，互动式改进的模型，方法和工具。从细节2（LOD 2）的模型开始，由简单的详细建筑模型组成，该模型具有地面边缘，楼梯，阳台，窗户，门和纹理。焦点是建筑外墙与数字高程模型之间的过渡，即所谓的建筑项圈。主要组件是一个3D空间数据库，该数据库集成了向量构建模型以及空中和地面栅格图像。精心设计的用户界面支持图像解释中的交互式分辨率。为了整合几何和纹理，将开发一个评估功能，该函数平衡了模型和图像之间与视觉合理性之间的无情冲突。该方法的新颖性是（1）高分辨率对象模型的规范，该模型应对高分辨率图像数据和3D GI中的详细信息之间的固有不一致性在3D GI中相对于可见的可视化，以及（2）从荒谬地理位置上的实例化对象模型的重新构建，从荒谬的图像及其构图中构成了图像及其常规化的范围。在最初的两年中，我们开发了整合向量和栅格数据的3D对象模型，并演示了数字高程模型数据，3D构建数据和图像数据的融合，以实现在建筑物项圈的上下文中实现一致且视觉上合理的对象描述。我们限制在遮挡程度较低的场景中。在去年，我们提高了解释过程的效率，并提高了解决场景的复杂性，尤其是在遮挡方面。