Matching of 3D building models with IR images for texture extraction

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.