In the European Union (EU) countries buildings consume 40% of the energy and cause 36% of CO2 emissions.\ud
The thermal information of facades and roofs are important for building inspection and energy saving. Texturing\ud
the existing three-dimensional (3D) building models with infrared (IR) images enriches the model database and\ud
enables analysis of energy loss of buildings.\ud
The main purpose of the presented thesis is to investigate methods for automatic extraction of the IR textures for\ud
roofs and facades of the existing building model. The correction of the exterior orientation parameters of the IR\ud
camera mounted on mobile platform is studied. The developed method bases on a point-to-point matching of the\ud
features extracted from IR images with a wire frame building model.\ud
Firstly, extraction of different feature types is studied on a sample IR image; Förstner and intersection points are\ud
chosen for representation of the image features. Secondly, the 3D building model is projected into each frame of\ud
the IR video sequence using orientation parameters; only coarse exterior orientation parameters are known. Then\ud
the automatic co-registration of a 3D building model projection into the image sequence with image features is\ud
carried out. The matching of a model and extracted features is applied iteratively and exterior orientation\ud
parameters are adjusted with least square adjustment. The method is tested on a dataset of dense urban area.\ud
Finally, an evaluation of developed method is presented with fiv
