Matching of 3D building models with IR images for texture extraction
Matching of 3D building models with IR images for texture extraction
复制标题
将 3D 建筑模型与红外图像进行匹配以进行纹理提取
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Uwe Stilla
中科院分区：
文献类型：
--
作者：
Dorota Iwaszczuk;L. Hoegner;Uwe Stilla
建筑物的热检查有助于检测建筑物船体中的损坏和薄弱点。为此目的，可以通过纹理映射将红外图像与3D建筑物模型相结合来实现3D空间参考。使用来自安装在移动的平台中的相机的地面图像序列，可以捕获正面，而空中图像序列可以拍摄屋顶和内部庭院。然而，根据不同的几何采集，两种不同的方法匹配的地面和航空图像需要。在本文中，我们提出了一个概念，现有的三维建筑物模型与互补的地面和机载红外图像序列的纹理。首先，我们提出了一种基于点云相对方向的地面图像序列匹配方法。其次，介绍了一种机载图像匹配方法，包括系统标定和最佳纹理选择。此外，地面和航空数据在一个三维建筑物模型的组合。
Thermal inspections of buildings contribute to detection of damaged and weak spots in the building hull. 3D spatial reference for this purpose can be achieved combining infrared images with 3D building models via texture mapping. Using terrestrial image sequences from a camera mounted in a mobile platform frontal faces can be captured, while airborne image sequences can be taken for roofs and inner yards. However, according to different geometry of acquisition, two different methods for matching of terrestrial and airborne images are required. In this paper we present a concept for texturing of an existing 3D building model with complementary terrestrial and airborne IR image sequences. First we present a method for matching of terrestrial image sequences based on relative orientation of the point cloud. Second, we introduce a method for matching of airborne images including system calibration and best texture selection. Further, the combination of the terrestrial and airborne data in one 3D building model is introduced.